Machine Learning Loot Crate 💻🧰

🔴 Welcome contributors!

As we all know the BGMI Loot Crate comes with so many resources for the gamers, this ML Crate will be the hub of various ML projects which will be the resources for the ML enthusiasts!

Structure of the Projects 📝

This repository consists of various machine learning projects, and all of the projects must follow a certain template. I wish the contributors will take care of this while contributing in this repository.

Dataset - This folder stores the dataset used in this project. If the Dataset is not being able to uploaded in this folder due to the large size, then put a README.md file inside the Dataset folder and put the link of the collected dataset in it. That'll work!

Images - This folder is used to store the images generated during the data analysis, data visualization, data segmentation of the project.

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.

🧮 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

❄️Open Source Programs!

_{Script Winter of Code 2021}

_{JGEC Winter of Code 2022}

Serial No.	Project Name	Goal of the Project	Link
01	Credit Card Fraud Detection	The main aim of the project is to make a model that helps to predict credit card fraud based on the given dataset.	Click Here
02	MNIST Dataset Classification	Implement a machine learning classification algorithm on image to recognize handwritten digits from a paper.	Click Here
03	Character Recognition	Implement character recognition in natural languages. Character recognition is the process of automatically identifying characters from written papers or printed texts.	Click Here
04	Height and Weight Prediction	Build a predictive model for determining height or weight of a person. Implement a linear regression model that will be used for predicting height or weight.	Click Here
05	Fake News Detection	Build a fake news detection model with Passive Aggressive Classifier algorithm. The Passive Aggressive algorithm can classify massive streams of data, it can be implemented quickly.	Click Here
06	Spam Email Detection	Build a model that can identify your emails as spam or non-spam.	Click Here
07	Wine Quality Prediction	Perform various different machine learning algorithms like regression, decision tree, random forests, etc and differentiate between the models and analyse their performances.	Click Here
08	Iris Classification	Implement a machine learning classification or regression model on the dataset. Classification is the task of separating items into its corresponding class.	Click Here
09	Titanic Prediction	Build a fun model to predict whether a person would have survived on the Titanic or not. You can use linear regression for this purpose.	Click Here
10	Pima Indians Diabetes Prediction	To predict whether a person is diabetic or not.	Click Here
11	Parkinson's Disease Prediction	The model can be used to differentiate healthy people from people having Parkinson’s disease. The algorithm that is useful for this purpose is XGboost which stands for extreme gradient boosting, it is based on decision trees.	Click Here
12	Sentiment Analysis on Twitter Data	Analysing the sentiment of the users and creating a prediction model based on the data, which will predict the sentiment of the user..	Click Here
13	Jeopardy Bot	We Build a question answering system and implement in a bot that can play the game of jeopardy with users. The bot can be used on any platform like Telegram, discord, reddit, etc.	Click Here
14	Breast Cancer Wisconsin (Diagnostic)	To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.	Click Here
15	Restaurant Review Classification	To build a model which can detect whether a restaurant’s review is fake or real. With text processing and additional features in dataset you can build a SVM model that can classify reviews as fake or real.	Click Here
16	Caption generation from images	To detect objects from the image and then generate captions for them. LSTM (Long short term memory) network is responsible for generating sentences in English and CNN is used to extract features from image. To build a caption generator we have to combine these two models.	Click Here
17	Heart Disease Prediction	Use this dataset to predict which patients are most likely to suffer from a heart disease in the near future using the features given.	Click Here
18	Years of experience and Salary dataset	The purpose of this project is to use data transformation and machine learning to create a model that will predict a salary when given years of experience, job type.	Click Here
19	Banknote Dataset	To predict whether a given banknote is authentic given a number of measures taken from a photograph.	Click Here
20	GTSRB (German traffic sign recognition benchmark) Dataset	To build a model using a deep learning framework that classifies traffic signs and also recognises the bounding box of signs. The traffic sign classification is also useful in autonomous vehicles for identifying signs and then take appropriate actions.	Click Here
21	Students Performance in Exams	To understand the influence of the parents background, test preparation etc on students performance. Perform EDA.	Click Here
22	Swedish Auto Insurance	To predict the total payment for all claims in thousands of Swedish Kronor, given the total number of claims. and perform Eda.	Click Here
23	Avocado Prices	The goal is to predict the average price which is continuous in nature of the different type of avocado and using the region that in which region they are lying.	Click Here
24	IPL Winning Match Predictor	The goal is to predict the winning Team made by a different player with different bowlers, batsmen, and captains. Will be finalizing the best method to be used on behalf of accuracy. Predicting some outcomes of upcoming matches.	Click Here
25	Uber Analysis	To analyze the data of the customer rides and visualize the data to find insights that can help improve business. Data analysis and visualization is an important part of data science. They are used to gather insights from the data and with visualization you can get quick information from the data.	Click Here
26	Crypto Currency Price Prediction	Buying and selling result in a change in the price of any cryptocurrency, but buying and selling trends depend on many factors. Using machine learning for cryptocurrency price prediction can only work in situations where prices change due to historical prices that people see before buying and selling their cryptocurrency. So we need to find the price relation here.	Click Here
27	House Price Prediction	The goal is to predict Predict the housing prices of a new house using linear regression. Linear regression is used to predict values of unknown input when the data has some linear relationship between input and output variables.	Click Here
28	Vehicle Insurance Claim Fraud Detection	Vehicle insurance fraud involves conspiring to make false or exaggerated claims involving property damage or personal injuries following an accident so, It will Detect fraud claims and will help Insurance Firms to verify them properly again.	Click Here
29	Mall Customers Segmentation	To classify different customers.	Click Here
30	Body Fat Prediction	Create a ML model, for predicting the body fat.	Click Here
31	Big Mart Sales Prediction	Create a Prediction Model, for the sales prediction of Big Mart	Click Here
32	Air Quality Prediction	Prediction model to predict the air quality	Click Here
33	Stress Detection	Detect the stress among different people	Click Here
34	Bitcoin Price Prediction	Predicting the price of Bitcoin using a ML approach	Click Here
35	UK Favourite Chocolate Analysis	Anlyze the dataset which contains different aspects of chocolates of UK	Click Here
36	Advertisement Click Prediction	Predict the clicking on the advertisement	Click Here
37	FLICKR8k Dataset Analysis (MS COCO)	Analyze the dataset of MS COCO and provide the visualization out of it	Click Here
38	US Household Income Distribution Analysis	Analyze different aspects of US household from the given dataset and find out the pattern among them.	Click Here
39	Engineering Placements Prediction	Predict the placements of the engineering students after being graduated from any engineering college/university	Click Here
40	Digit Recognizer Project	Recognize the digits using a Machine Learning Model, where the digits are in the handwritten form.	Click Here
41	Concrete Strength Calculation	Create a ML model which will calculate the strength of concrete and provides the outcome	Click Here
42	Ethereum Fraud Detection	Create a ML model which detect the real/fake eth while purchasing/selling it.	Click Here
43	Indian School Education Statistics	Visualize and analyze the condition of the Indian school education system with the help of data analysis	Click Here
44	Real/Fake Job Posting Prediction	Create a ML model which will predict the real/fake job postings in different websites	Click Here
45	Eye Disease Prediction	Create a prediction model which will predict the affected eye from the given images	Click Here
46	Birds Image Classification	Classify the images of the birds using deep learning methods	Click Here
47	Identify the images of Cats and dogs	Identifying the images of cats and dogs.Algorithm used for this purpose was CNN.	Click Here
48	IMDB Review Analysis	Perform Sentiment analysis on the data to see the statistics of what type of movie do users like. Sentiment analysis is the process of analysing the textual data and identifying the emotion of the user, Positive or Negative.	Click Here
49	Enron Email Dataset	Classify the emails from the given dataset and visualize the contents of the email	Click Here
50	Netflix Movies and Shows Analysis	Analyze the shows on the Netflix platform and find out the visualization of the data in different aspects.	Click Here
51	Bangladesh Premier League Analysis	Analyze different aspects of Bangladesh Premier League for the season 2021-22.	Click Here
52	Top Programming language in GitHub	Identify the top programming language in GitHub using data analysis	Click Here