prathimacode-hub/ML-ProjectKart：基于机器学习、深度学习、计算机视觉、自然语言处理等的 234

技术解读

以下内容由 GitRead 中文社区编辑团队基于项目 README 与官方资料整理，结合中文开发者的常见使用场景补充技术选型建议。具体以项目官方文档为准。

ML-ProjectKart 深度解析：一个“项目样本池”式的开源实验场

项目背景与痛点

机器学习学习者最常见的困境并不是缺少教程，恰恰相反，是教程太多。理论课程可以讲清楚反向传播，但很少能讲清楚一个完整项目从数据获取、清洗、特征工程到模型评估的完整流程应该长什么样。而工业级的 MLOps 框架又依赖大量基础设施，初学者根本看不懂。

在教程与生产之间，从知识到完整可运行项目这一步是缺失的。开发者需要海量真实项目作为样本，去观察别人怎么做数据清洗、怎么设计实验、怎么评估模型——重点是看别人真实写出来的代码长什么样，而不是看抽象出来的最佳实践。

ML-ProjectKart 解决的正是这个“缺少样本”的问题。它把 234 个以上覆盖机器学习、深度学习、计算机视觉、自然语言处理的小型项目收纳进一个仓库，形成一个持续更新的项目集合。它的价值是：把原本散落在博客、Kaggle Notebook、个人仓库里、难以被系统性检索的项目实例，聚合成一个可以按领域浏览、按需取用的索引。

核心技术揭秘

需要先把话说清楚：ML-ProjectKart 不是一个框架，也不是一个库。它没有统一的运行时、没有共享代码库、没有抽象层。技术上的正确描述是：一个按领域分区的扁平的 monorepo。这个选择看似简单，实则是整个项目最关键的设计决策。

每个子项目都是自包含的：一个文件夹里通常放着 README.md、一个或多个 Jupyter Notebook（或 .py 脚本）、可选的 requirements.txt、可选的样本数据或数据获取说明。项目之间没有任何依赖关系，删除一个文件夹不会影响其他项目。

这种“零耦合”带来的是贡献门槛的降低——Hacktoberfest 类活动参与者不需要理解整个仓库架构，只要往自己的文件夹里提交一个能跑通的 notebook 就完成了贡献。代价则是无法做统一构建、统一测试、统一依赖锁定。

数据流可以简化成一条“提交—评审—归档—取用”的链路：

graph TD A[贡献者 Fork 并提交项目] --> B{"维护者评审"} B -->|"通过"| C[按领域分类归档] B -->|"驳回"| D[返回修改意见] C --> E[机器学习项目集] C --> F[深度学习与计算机视觉项目集] C --> G[自然语言处理项目集] E --> H[各项目独立依赖环境] F --> H G --> H H --> I[读者克隆单个项目直接运行]

技术上值得注意的有三点。其一，目录即索引，README 中的超级链接直接指向文件夹，仓库结构本身就是信息架构，不需要额外的元数据层。其二，领域分区承担了“路由”作用，读者按 CV、NLP、传统 ML 找到自己的子集，避免在 234 个文件夹里迷失方向。其三，依赖管理被下放到项目级——这既是优点（不会有全局版本冲突），也是最大的隐患（每个项目要单独建虚拟环境，跨项目复用几乎不可能）。

从实现推断，这些项目绝大多数采用 scikit-learn、TensorFlow/Keras、PyTorch、OpenCV、NLTK 这几条主流技术栈，形态高度趋近“单 notebook 端到端”：加载数据、预处理、训练、评估、可视化在同一个文件里完成。这符合“教学样本”的定位，但离可维护的工程代码还有明显距离。

功能亮点与差异

横向对比，它的定位相当独特。Awesome-List 类仓库只有链接，点到外部仓库常常已经失效或无法运行；Kaggle Notebook 生态虽然真实，但缺少按领域组织的仓库级索引；其他 Hacktoberfest 仓库多以 Web 前端项目为主，ML 垂直方向几乎空白。

它的核心优势是真实代码的覆盖面：在同一个地方能同时看到 234 个项目的实现风格，这对于建立“常见做法”的直觉非常有帮助。此外，社区评审机制（哪怕是人工的）筛掉了明显跑不通的提交，比纯链接聚合多了一层质量过滤。

独特之处还在于贡献者即读者的双向闭环：提交项目的往往是正在学习该项目的人，他们写出的文档往往更贴近初学者的实际卡点。

应用场景与落地建议

适合的场景很明确：教学素材库、课程设计选题池、面试前的项目速览、团队内部新人练手项目参考。适合把它当作灵感来源和参考实现来用。

如果打算把它用于生产或作为二次开发基础，有几点必须注意。许可协议是第一个风险点——不同贡献者提交的项目许可证可能不一致，商用前需逐个确认。数据来源与合规性同样需要核查，很多项目用公开数据集，但也有直接提交样本数据的。工程化改造不可避免：notebook 里的代码不具备可测试性，抽取逻辑时需要重写成模块并补齐单元测试。最后，不要指望跨项目共享代码，任何“复制粘贴再调整”的做法都会累积技术债，正确路径是把它当参考实现，按自己的架构重写。

综合评价

优点：项目样本量足够大且领域覆盖广，仓库结构简单直观，贡献门槛低因此能持续增长，作为学习与选题资源几乎没有替代品。

缺点：质量参差不齐是结构性缺陷，没有 CI、没有测试、没有统一依赖锁定，大量 notebook 形态的代码难以进入任何工程化流程；随着项目数量线性增长，维护者的评审与目录维护成本也会线性上升，长期可持续性依赖核心维护者的投入。

一句话总结：它是一个高质量的“项目集合”，但你要清楚地知道它不是生产代码库。把它当图书馆来读，不要当框架来用。

关于

GitHub 原始描述（英文）

🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

algorithms algorithms-and-data-structures algorithms-datastructures beginner-friendly computer-vision contributions-welcome deep-learning hacktoberfest hacktoberfest2023 machine-learning machine-learning-algorithms natural-language-processing open-source projects python python3 scripts-collection

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描述取自 GitHub 官方 API，保持仓库作者书写的原文。

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贡献者

Welcome to ML-ProjectKart👋🛒

📌 Repository

This kart showcases the finest collection of all projects based on machine learning, deep learning, computer vision, natural language processing and everything. Indulge in this journey of open source.

The main aim is to provide an efficient and beginner-friendly projects that would help you in mastering the ML/AI algorithms and make you familiar. Turn yourself into pro with all the hands-on that got you covered.

🙌 Join Here

Anyone related to technology who are looking to contribute to open-source, are all invited to hop in. This place has task for everyone.

Data Analysts - Frame the problem. Get, explore and prepare the data

Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Generative AI Enthusiasts - Try different algorithms, build model, optimize the model.

If you had worked on or want to initiate a unique project and want to share it with the world, you can do that through here. Go through the contributing guidelines in CONTRIBUTING👩‍💻

When issue is raised from your end (or) taken it from issues tab to add a project, elaborate as much as you could and as well notify us about the task you will be working.

Subsequently, also go through the GitHub documentation on creating a pull request.

💡Look Through The Kart Of Amazing Projects

S.No	Project Name	Description
01.	Advertisement Click Prediction	The goal of this project is to make a prediction model using the advertisement classification algortihms, which will predict the desired ad as per the user information.
02.	Advertisement Success Prediction	In this project we will be working with an advertising data set, indicating whether or not a particular internet user clicked on an Advertisement.
03.	Age, Gender and Ethnicity Prediction	The goal of this project is to be able to predict age , gender and ethnicity of a person just by looking at an image of a person.
04.	Air Quality Predication	The goal of this project is to predict Air Quality Index (AQI ) form features as particulate matter (PM2.5 and PM10), Nitrogen Oxide (NO), Nitric Dioxide (NO2), Carbon Monoxide (CO), Sulphur Dioxide (SO2), Ozone (O3) etc.
05.	Airbnb Price Prediction	The goal of this project is to make a prediction model which will predict the prices of the Airbnb hotels using different parameters.
06.	Airline Passenger Satistfaction	The aim of this project is to perform analysis of the passenger satisfaction data and data preprocessing to prepare the data and predict whether the passenger is satisfied or not with the airline services.
07.	Alpaca Identification	The goal of this project is to make an identification cum classification model using deep neural networks, which will identify the images of Alpaca from the user given input.
08.	Amazon Alexa Reviews	This model predicts the feedback of Amazon Alexa users based on the features such as ratings, variations and verified reviews.
09.	Amazon Books Analysis	Prediction on whether books will be fiction or non-fiction using Goodreads.
10.	Amazon Data Analysis	The goal of this project is to predict the upvote of the customer on the basis of reviews, text and score of the cuustomer given in the dataset.
11.	Amazon Mobile Phones Reviews Analysis	This is one of the major techniques used to analyze customer reviews on different products and find necessary insights from reviews. The major idea is to classify reviews and determine how satisfied customers were regarding the product.
12.	Amazon Products Review Classification	The goal of this project is to make a classifiation model which will classify the products review enlisted in the Amazon Inc website, so that it can help the company for their betterment, and also they can rectify their faults depending on the users’ experience.
13.	American Sign Language(ASL) Recognition	T he aim of this project is to recognize what the person is trying to convey using different hand gestures. The dataset contains 29 classes which comprises of A to Z alphabets, nothing, space and delete hand gestures.
14.	Animate Me !	It is a simple OpenCV project that converts input image to a cartoon equivalent
15.	Anime Recommendation System
16.	Appliances Energy Prediction	The goal of this project is to make a prediction model which will predict the enery consumption by the appliances based on the given dataset.
17.	Automated Essay Grading	The goal of this project is to make a prediction model which will give scoring to student-written essays.
18.	Avito Product Analysis and Price Prediction	Perform exploratory data analysis on the dataset of products from Avito Advertising website and develop a ML model to predict prices of the other products in the website.
19.	Balls Image Classification	The goal of this project is to make a deep learning model which will classify the images of different types of balls using the convoolution neural network, to be precise the MobileNet architecture.
20.	Bangladesh Premier League Analysis
21.	Bank Customers Prediction	To predict the customers who are withdrawing their account from the bank due to some loss and other issues.
22.	Bike Crash Analysis	The goal of this project to analyze the dataset on various factors and depending on the various factors making of a prediction model which will predict the accident prone sights.
23.	Bike Rental Demand Analysis	The aim of the project is to make a forecast of the demand in Bike Rental Services. This project predicts the upcoming nature of the customer request demand.
24.	Bike Sharing Prediction	The main goal of the project is to analyse the Bike Share Count in case of different seasons, weekdays, weathers, etc. and based on that train a model, to predict the number of bike users under a given circumstance.
25.	Bird Species Classification and Recognition	The goal is to complete an end to end computer vision problem with basic parts, such as bulding an input pipeline, compose the model, data augmentation etc.
26.	Bitcoin Price Prediction	The main purpose of this project is to predict the price of Bitcoin.
27.	Black Friday Sales - Analysis and Prediction	The goal of this project is to analyse and predict purchases in the black friday sales from features as age group, gender, occupation, product category etc.
28.	Board Game Review Prediction	The goal of this project are -What are the categories of game that are the most popular?Can we build a model with the available data that predicts user rating? What factors make for the best “modern” board game.
29.	Body Fat Prediction	The goal is to predict percentage of body fat of a person.
30.	Book Genre Prediction	The goal of this project is to make a prediction model which will predict genre of the book.
31.	Book Recommendation Systems	The goal of this project is to make a recommendation system which will recommend the user a book, based on the search results given input by the users.
32.	Brain Tumor Detection and Classification	This model detects the presence of brain tumor by processing MRI scans of the patient.
33.	Brain Weight prediction	The goal of this project is to make a prediction model which will predict the weight of the human brain depending on the head size.
34.	Brazil Fires Prediction	To predict the number of the fires taken place statewise in Brazil.
35.	Breast Cancer Prediction	The goal is to predict Breast Cancer.
36.	Campus Placement Prediction	The goal is to predict if a student is placed or not according to his/her percentage and other factors.
37.	Campus Recruitment - Analysis and Prediction	The goal of this project is to analyze the factors that can effect the Campus Recruitment, and also creating a model which will predict the chances of getting placed depending on various factors.
38.	CAPTCHA Decoding	The goal of this project is to create a deep learning model which will recognize the captcha letters.
39.	Car Brand Classification	This project classifies the car brand using machine learning.
40.	Car Insurance Prediction
41.	Car Prices Prediction	The main goal is to predict the price of cars with the available independent variables
42.	Cartier Jewelry Classification	The goal of this project is to make a classification model, which will classify the jewelries based on the various features.
43.	Cartoonify using KMeans
44.	Cats Vs Dogs Classification	The goal of this project is to classify whether the image is of a dog or a cat.
45.	Cervical Cancer Risk Prediction	The business objective is to build a Machine Learning Prediction Model that predicts the result of Biopsy test and thereby confirming the presence/non-presence of cervical cancer in the patients.
46.	Churn Risk Score Prediction	This project is used to predict the churn score for a website based on the related features
47.	Classification of Images using MNIST and CIFAR10	Classifying and predicting images with accuracy.
48.	Coffee Production Prediction	The goal of this project is to make a prediction model which will give total production of the coffee from year 1990-2018.
49.	Colour Identification using Machine Learning	This project defines us the colour we have asked to see instead of showing the color object.
50.	Concrete Strength Prediction	The aim of this project is to predict strength of the concrete from features as fly ash, blast furnamce slag, water, fine aggregate, coarse aggregate, cement, age etc.
51.	Cotton Disease Prediction	This project predicts the disease of cotton tree using Transfer Learning with Resnet152V2 model.
52.	COVID19_Data-Analysis	The goal is to predict what kind of resource an individual might require at the time of being tested positive or even before that will be of great help to the authorities as they would be able to procure and arrange for the resources necessary to save the life of that patient.
53.	Covid-19 Data Analysis	The goal of this project is to analyze the situation caused due to Covid-19 pandemic using data visualization.
54.	Credit Card Fraud Detection	The aim of the project is to predict fraudulent credit card transactions using machine learning models.
55.	Crop Fertilizers Analysis and Prediction
56.	Crop Recommendation System	The Goal of this project is to build the recommendation model using the crop recommendation dataset.
57.	Crop Yield Prediction	This dataset is focused on the different crops which can reflect the price area and other attributes from that one can predict for future price yield by using some better attributes.
58.	Cryotherapy Analysis	In this project we are going to analyze the cryotherapy dataset and will deploy several machine learning algorithm models.
59.	Customer Income Segmentation Analysis
60.	Customer Modelling Analysis
61.	Customer Region Classification	The goal is to predict Customer Region using random forest classifier model.
62.	DNA Sequencing Classification	In this project, we will understand how to interpret a DNA structure and how machine learning algorithms can be used to build a prediction model on DNA sequence data.
63.	Dance Form Classification	The goal of this project is to classify the images of various dance forms and prepare a Classification model using Deep learning methods.
64.	Dandelion Recognition	The goal of this project is to create classification model which will identify the dandelion from the images given to the model.
65.	Data Analysis Of Meteorological Data	It analyzes the meteorological weather data of the last 10yrs from 2006 to 2016 at Finland to check an increase of global warming.
66.	DeepQ Networks
67.	Detecting Motion and Moving Objects in a Video
68.	Diabetes Prediction	The goal is to predict if a person is having Diabetes or not using logistic regression and SVM models.
69.	Diamond Price Prediction	The goal is to predict price of Diamond.
70.	Disease Symptom Prediction	The goal of this project is predict symptom of disease using the information contained in this dataset.
71.	Disneyland Reviews Analysis	The aim of this project is to analyse the reviews given by visitors from different countries of the world using NLP.
72.	Dog Breed Identification	This project is about predicting the breed of a dog, this can be helpful to people who are not expert in the field.
73.	Dogecoin Price Prediction	The goal of this project is to make a Prediction model which will predict the price of the Dogecoin in the future times depending on the previous parameters.
74.	Driver Drowsiness Detection System	The main purpose of this project is to awake the driver’s if they fall asleep in order to avoid drowsiness related road-accidents.
75.	Dry Beans Classification	The goal is to predict Dry Beans.
76.	Email Classification	This project classify emails as spam or not-spam on the basis of the message.
77.	Emoji Classification using OpenCV	The Goal of this project is to make a model which will predict the emotion shown using the input image. And also it will classify the particular emotion shown in the given image.
78.	Emotion Classification	The goal of this project is to create a model which will classify different emotions based on the text provided in the dataset.
79.	Emotion Recognition using NLP	An Intelligent Emotion Predictor which uses NLP technique by sending text input to determine whether data is positive, negative or neutral.
80.	Employee Retention Prediction	The project revolves around the idea to give basic modelling techniques used to classify if the employee will leave the company or not based on certain features in the datset.
81.	English Alphabet Classification	The aim of this project is to recognize the computerised generated images of the English apphabets. The dataset contains 26 classes which comprises of a to z alphabets, each class containing 100 images.
82.	Exports Classification	The goal of this project is to build a classification model, using regression algorithms, such as, linear regression, random forest regression, decision tree regressor and many more algorithms.
83.	Face Clustering
84.	Face Detection and Blurring
85.	Face Generation using DCGAN	The main goal of this project is to get a generator network to generate new images of faces that look as realistic as possible using a DCGAN on a dataset of faces.
86.	Face Mask Detection Using OpenCV	This is a Face Mask Detection project that uses both Haar Cascades and Caffe framework approaches for face detection and a finetuned MobileNetV2 model to detect masks on face taking real time video stream as input.
83.	Face Verification using Deep Learning
84.	Face Detection using PCA	Implement Face detection using Principal Component Analysis (PCA) to reduce the dimensionality of large data sets.
85.	Facial Expression Recognition using Machine Learning
86.	Fake Currency Prediction	The goal is to predict whether a given note is fake or not using machine learning models.
87.	Fake News Detection	The aim of the project is to detect whether the news is Real or Fake using different text extraction NLP techniques.
88.	Fake Job Posting Prediction	The goal of this project is to predict the whether the employee with jods has fake job or real.
89.	Fashion MNIST Classification	To classify various clothings into groups
90.	Fish Weight Prediction	The main goal of this project to predict the weight of the any fish using linear regression model.
91.	Flight Delay Prediction	The main purpose of this project is to predict future delays in flights using machine learning models.
92.	Flight Fare Prediction	The aim of the project is to predict the fare of different Airlines covering different routes using machine learning models.
93.	Flood Prediction
94.	Flowers Recognition	The goal of this project is to identify the flower name from an image uploaded by the user.
95.	Football Match Prediction	The goal of this project is to predict the match winner according to the prediction model.
96.	Football Team Rating Prediction	The goal is to predict rating of Football Team.
97.	Forest Cover Type Classification	The main goal of this project to classify the cover type of forest with the dataset using Random Forest Classification model.
98	Forest Fire Prediction	To predict the area burned in the Forest Fire.
99	Fragnance Price Prediction	To predict the price of the fragnances.
100.	Fresher’s Salary Prediction	The Main Goal of this project to predict the salary of fresher students on the basis of subjects, degree_type, percentages etc.
101.	Fuel Consumption Analysis	The aim of this project is to predict the consumption depending on the gas type. It can be used to determine the effect of weather, speed or gas type on the car consumption.
102.	GOT Episodes IMDb Rating Prediction	The goal of this project is to create a prediction model which will predict the IMDb ratings of the episodes of the Game of Thrones series depending on the views and season of the GOT.
103.	Gender Classification Using DL	Gender classification aims to recognize a person’s gender based on the characteristics that differentiate masculinity and femininity.
104.	German Traffic Sign Classification	The aim is to automatically classify traffic signs.
105.	Glass Classification	The aim of this project is to classify the glass type using percentage of minerals present in each class of glass.
106.	Gold Price Prediction	The aim of this project is to perform analysis the gold price using different EDA techniques, and eventually train different model to predict the price of gold.
107.	Graduate Admission Prediction	To predict about the Graduate Admissions from an Indian perspective.
108.	Gun Detection
109.	Handwritten Digit Recognition	The main purpose of this project is to recognize handwritten digits by humans.
110.	Heart Attack Analysis	The goal of this exercise is to identify the parameters that influences the heart attack and build a ML model for the prediction of heart attack.
111.	Heart Disease Prediction	This project predicts heart disease based on features like age, cholesterol level, blood sugar level etc.
112.	Heights and Weights Prediction	The goal of this project is to build the prediction model using the regression algorithms to predict height and weight.
113.	Honey Bee Pollen Detection	The aim of this project is to classify the images of the bees to detect whether they are carrying pollen grains or not.
114.	Horses or Humans Classification	The aim of this project is to create a model, able to classify the horses and humans.
115.	Hotel Booking Prediction	The goal is to predict the possibility of the booking ,whether the booking is successfull or not .
116.	Hotel Rating Prediction	The goal of this project is to build the model for the Hotel Rating Prediction using nine Machine Learning Models.
117.	House Prices Prediction	This project predicts the prices of houses located in the cities of the US, with the help of essential features.
118.	Human Activity Recognition using Smartphones	The aim of this project is to build a model that predicts the human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying using data recorded by multiple smartphone sensors.
119.	IMDB Sentiment Analysis	The main purpose of this project is to predict the sentiment of movie reviews on IMDB.
120.	IPL Score Prediction	The goal of this project is to predict the score of an innings in an IPL match.
121.	IPL Winner Prediction	The aim of this project is to perform analysis of the IPL data and predict the winner of the IPL matches.
122.	Iris Flower Classification	The project is to classify the flowers among three 3 different types.
123.	Ice-cream Revenue Prediction	This is an icecream revenue prediction which predicts the daily revenue of icecreams depending on the temperature feature.
124.	Image Compression Using Clustering	This project helps in compressing the image using K-Means Clustering.
125.	Imagenet Classification	ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images.
126.	Income Prediction Web App	The Main Goal of this project to find out whether a person earn more than 50K dollar(>50K) and less than or equal to 50K dollar (<=50K) based on the given presonal information about person.
127.	Insurance Claim Prediction	The goal of this project is to classify insurance claim as 0 or 1 (if the policy holder will claim insurance or not) from features as age, number of children, BMI, residential region etc.
128.	Kidney Stone Prediction	The goal of this project is to create a prediction model which will predict the success rate of kidney stone operation based on the stone’s size and type of treatment.
129.	LEGO Minifigures	This project contains the dataset of a lot of pictures of various LEGO Minifigures in different poses or with different environments for the image classification tasks.
130.	Laptop Prices Prediction	The goal of this project is to make a Prediction model which will predict the prices of the laptops depending on various factors, such as size, company, set up and many more things!
131.	License Plate Detection and Recognition	This project is to detect and identify the license plates of a vehicles.
132.	Loan Eligibility Prediction	The main goal of the project is to predict the eligibility of a customer for getting a loan from the company
133.	MBA Specialization Classification	The goal of this project is to find out the MBA students who will be having good scores in their MBA career based on past activities using Classification algorithms.
134.	Malaria Disease Detection	The aim of this project is to recognize whether the image of the human cell is infected with Malaria disease or not.
135.	Male & Female Eyes Classification	The goal of this project is to create a classification model which will classify the genders based on the eyes images as per given in the dataset. For this we are going to use different architectures of Convolution Neural Network.
136.	Mall Customer Segmentation	This model will segment the customers based on the parameters.
137.	Marathon Time Prediction	The goal of this project is to predict the time for the marathon using the given details in dataset.
138.	Marble Surface Anomaly Detection	The goal of this project is to make a detection model which will detect which type of marble is present.
139.	Medical Cost Analysis for Smokers and Non-smokers	This project consists of the fact that the average medicine charges can be changed for the smokers and non-smokers.
140.	MemPool Prediction	To predict about the memepool in detail.
141.	Mobile Price Range Classification	In this project we do not have to predict actual price but a price range indicating how high the price is.
142.	Movie Oscar Win Prediction	The goal of this project is to make a prediction model, which will predict the chances of winning the Oscar award.
143.	Movie Recommendation System	This project will help one to recommend the movies , will provide the movies names.
144.	Mushroom Classification	This project is all about deploying classification algorithms and comparing the models.
145.	Music Genre Classification	The goal of this project is to create a model which will classify all the 10 genres based on the song selected.The song can be selected from the dataset or any other source.The song format must be in .wav format and for 30 sec in duration.
146.	NASA Asteroids Classification	This project helps in classifying the NASA Asteroids and checks for features responsible for claiming whether the asteroid is hazardous.
147.	NBA-Analysis and Prediction	To predict number of points that were scored in the season 2013-2014 by the NBA players.
148.	Natural Images Classification	The goal of this project is to build the Classification Model for natural images using the Neural Networks and Deep Learning.
149.	Netflix EDA and Recommedation System	The project aims to gain insights from detailed EDA and recommend which movie to watch next.
150.	Object Detection using OpenCV	To understand Computer Vision Libraries like OpenCV and detect various objects using Deep Learning Models with pretrained weights.
151.	Olympic Medal Prediction	The goal of this project is to make a prediction model which will predict whether an athlete will win medal or not.
152.	Organ Donors Prediction	The goal of this project is to predict donors using the information contained in this dataset.
153.	Paris Housing Classification	The goal is to predict Paris Housing.
154.	Parkinson’s Disease Prediction	This project helps in finding the reasons for parkinson’s disease and who are predicted to have this disease.
155.	Password Strength Classifier	The goal of this project is to classify and predict the strength of the password given in the dataset.
156.	Persian License Plate Characters Identification	The goal of this project is to make a detection model which will detect different characters from the Persian Number plate.
157.	Phishing Website Detection	The goal of this project is to make a detection model which will detect the phishing websites depending on various factors, using machine learning algorithms.
158.	Plant Disease Prediction	Goal of this project is to identify the condition of a plant by looking at the image provided.
159.	Plant Seedlings Classification	The goal of this project is to build the plant seedlings classification model. The architectures used here are, ResNet, AlexNet, Vgg, Inception, MobileNet, SqueezeNet, DenseNet to deploy the classification model.
160.	Predict Future Sales	To predict whether the future sales.
161.	Private Companies Prediction	To predict the number of the private limited companies.
162.	Productivity Prediction	It is highly desirable among the decision makers in the garments industry to track, analyse and predict the productivity performance of the working teams in their factories.
163.	Railway Track Fault Detection	To predict railway track faults.
164.	Rain Prediction	RainTomorrow is the target variable to predict on the basis of some given Features.
165.	Reddit Tweets Prediction	To predict about the different reddit tweets in detail.
166.	Restaurant Recommendation System	The goal of this project is to make a Recommendation System which will recommend the users the best restaurant that they are looking for.
167.	Resume Categorizing	The goal of this project is to build the model for the Resume Categorizing using eight Machine Learning Models
168.	Road Lane Detection	This project is the model for the road lane detection, which will detect the road lane from an image which will be user given.
169.	Salary Prediction	The goal of this project is to predict the salary based on some parameters.
170.	Salary Range Classification	The goal of this project is to classify salary range from features as company, job, degree etc.
171.	Sarcasm Detection	The Goal of this project is to detect Sarcasm from news headlines data set using classification algorithms and compare the algorithms to find out which one is better.
172.	Shoulder X-Ray Classification	The goal of this project is to create a classification model which will classify different images of shoulder x-ray and predict or, detect the type of the image!
173.	Sign Language Prediction	The sign language prediction project helps in identifying the sign language from images provided.
174.	Snapchat Filters	We will build our own Snapchat Filters with the help of some libraries using Python programming language.
175.	Snapchat Witch Filter
176.	Social Distancing Detector
177.	Social Network Influencer Prediction	The goal of the challenge is to train a machine learning model which, for a pair of individuals, predicts the human judgement on who is more influential with high accuracy.
178.	Soil Moisture Prediction	The aim of this project is to predict the moisture present in soil.
179.	Solar Eclipse Classification	The aim of this project is to classify among the main types of Solar eclipses, which are : P = Partial Eclipse, A = Annular Eclipse, T = Total Eclipse, H = Hybrid or Annular/Total Eclipse.
180.	Solar Radiation Prediction	The goal is to predict radiation of Sun.
181.	Song Genre Classification	The goal of this project is to build the song genre classification model using the Spotify dataset.
182.	Spam Email Detection	This project predicts whether the received message is spam or ham.
183.	Speech Emotion Recognition	The goal is to predict the emotion of human while talking.
184.	Stack Overflow Questions Quality Rating Prediction	The gaol of this project is to make a prediction model which will predict the quality of the questions from the Stack Overflow website depending on the various factors.
185.	Star Radiation Analysis and Predcition	The aim of the project is to analysis and predict the star radiations and perform a detailed visualizations out of the same.
186.	Stars, Galaxies and Quasars Classification	The goal of this project is to make a perfect classification model according to the data collected on stars, galaxies and quasars.
187.	Startup Profit Prediction	The goal is to predict Profit of the Startups. The dataset contains data about 50 startups. It has 5 columns: “R&D Spend”, “Administration”, “Marketing Spend”, “State”, “Profit”.
188.	Stock Price Prediction	The goal is to predict the price of stocks in future and make calls according to the results algorithms provide.
189.	Stocks and Crypto Research Analysis
190.	Stress Level Prediction	The goal of this project is to predict stress level from features taken from the survey responses.
191.	Stroke Prediction	The goal of this project is to predict the rate of stroke of a person.
192.	Student Performance Prediction	The goal of this project is to predict final grade of the student from features as study time, failures, free time, absenses, health status, going out,first period grade, second period grade etc.
193.	Supermarket Sales Prediction	To predict supermarket sales.
194.	Terrorist Attack Prediction	Analysis of given dataset and prediction of Terrorist attack using regression modal.
195.	Test Score Prediction	The aim of project is to build machine learning algorithms to predict the scores of the students.
196.	Tetris Object Counter	The goal of the project is to identify all the tetris objects (tetrominoes) in the given tetris input image and return the count. It is seen that during gameplay the tetris blocks are broken and this program should be able to identify such blocks too.
197.	Text Classification
198.	Text Summarization	The goal of this project is to create a model which will summarize the articles given by the users.
199.	Titanic Survival Prediction	Use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
197.	Tokyo Olympics Visualization Data Analysis
198.	Traffic Sign Classification	The goal of this project is to make human readable traffic sign classification.
199.	Twitch Streamer Analysis	The goal is to perform analysis and predict Followers gained per stream.
200.	Twitter Sentiment Analysis	This project helps in analyzing the sentiment using the text data posted on twitter to check it by classifying the statements as positive, negative or neutral.
201.	U.S. Weather History Visualizations	The goal is to analyse the 12 months data of US weather history and find the conclusion and display them via graphs.
202.	USA House Pricing Prediction	The goal of this project is to make a prediction model, which will predict the price of the houses at USA, depending on the given features.
203.	Uber Fare Prediction	This project helps in predicting the fare to be charged for the Uber travelling person.
204.	Vehicle Image Classification	The aim of this project is to classify a vehicle image which type of vehicle it is.
205.	Vehicle and Pedestrian Tracking using OpenCV
206.	Voice Gender Identification
207.	Walmart Sales Prediction	The main purpose of this project is to predict the future sales at walmart.
208.	Waste Classification	The aim of this project is to recognize whether the image of the waste product is a Organic Waste or a Recyclable Waste
209.	Water Quality Prediction	This project indicates if water is safe for human consumption where 1 means Potable and 0 means Not potable.
210.	Web Page Phishing Detection	Many people get scammed by this Web page phishing technique. Detecting them can save people from getting scammed. Hackers usually blackmail the people to get their personal information back. Identifying this techniques can save millions.
211.	Wine Quality Prediction	This model predicts the quality of wine based on some features like pH, fixed acidity, citric acid etc. using SVM and Random forest algorithm.
212.	World Happiness Report Analysis	The aim of the project is to predict happiness scores and rankings and perform a detailed analysis and visualization of the training dataset and create a model.
213.	World Population By Year Analysis
214.	World Poverty Analysis	The goal of this project is to analyze the world poverty using dataset.
215.	Yotube Video Recommendation System	The model will recommend the video titles on proving the search query by user.
216.	Zomato Banglore Resturants Recommendation	The aim of this project is analyse a dataset and recomend the user for top restaurants in bangalore.
217.	Zoo Animal Classification	The goal of this project is to predict the zoo animal based on some classifications using machine learning model.
218.	Body Parts Classification
219.	Discussion Forum Prediction
220.	Mortality Rate Analysis & Prediction
221.	Named Entity Recognition
222.	Ramen Noodles Rating Analysis
223.	News Articles Classification
224.	Prediction of Subject based on Question (NLP)
225.	Salt Deposits Identification & Prediction

📝 Project Structure

Your projects should contain this flow to maintain similarity across all other projects. Make sure to note these things, before you create a PR.

Dataset - This folder would have a .csv file.

Model - This folder would have your project file (that is .ipynb file) be it analysis or prediction. Other than project file, it should also have a ‘README.md’ using this template and ‘requirements.txt’ file which would be enclosed with all needed add-ons and libraries that are included in the project. (.pkl file if available)

Images/Screenshots - This folder would have images added if applicable.

💻 Workflow:

Fork the repository
Clone your forked repository using terminal or gitbash.
Make changes to the cloned repository
Add, Commit and Push
Then in Github, in your cloned repository find the option to make a pull request

print(“Start contributing for ML-ProjectKart”)

🛠 Templates to Follow

Note : One should follow these templates while creating a new issue or pull request.

⚙️ Things to Note

Make sure you do not copy codes from external sources because tha

README 内容过长，已截取前 64 KB。完整内容请前往 GitHub 仓库查看。

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📝 Project Structure

💻 Workflow:

🛠 Templates to Follow

⚙️ Things to Note

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