rkumar45,github

abalone-age-prediction

Predicting Algae's age using different attributes and Machine Learning Algorithms for Regression Analysis.

ads-optimization

Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.

advanced-house-price-prediction

It is a Advanced Problem of Regression which requires advanced techniques of feature engineering, feature selection and extraction, modelling, model evaluation, and Statistics.

aerial-cactus-identification

It is an Image Processing Challenge where we have to identify the Aerial Cactus using Deep Learning Techniques. I have used fastai library to make this work even easier.

amazon-alexa-reviews

Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning

avito-demand-prediction-challenge

It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting

big-mart-sales-prediction

Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

black-friday-regression-analysis

Predicting Prices for the products to be sold on Black Friday in US using Regression Analysis, Feature Engineering, Feature Selection, Feature Extraction and Data analysis - Data Visualizations.

boston-house-price-predictions

The most basic data set available to practice the concepts of regression analysis and explore the most basic concepts of machine learning

breast-cancer-wisconsin

This is Data set to Classify the Benign and Malignant cells in the given data set using the description about the cells in the form of columnar attributes. There are Visualizations and Analysis for Support.

careercon-robots-need-help

It is Data Science and Machine Learning Competition Hosted by Kaggle where we have to perform multi-class classification on the labels, a very good amount of feature engineering, data preprocessing, data visualizations and modelling is done on the data set to get a good accuracy using random forest and xg boost classifier

churn-modelling-dataset

Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.

coursera-reviews-analysis

It is a Natural Language Processing Problem where we have to decide the sentiments of the users who reviewed the course. and then classifying the reviews into positive and negative.

credit-card-fraud-detection

It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.

don-t-overfit

It is from Kaggle Competitions where the training dataset is very small and the testing dataset is very large and we have to avoid or reduce overfiting by looking for best possible ways to overcome the most popular problem faced in field of predictive analytics.

education-process-mining

Mining Student's Performances through their results in final and intermediate exams using Machine Learning

employee-reviews

This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking the Sentiments.

fifa-2019-analysis

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

fraud-detection-in-online-transactions

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

graduate-admissions-analysis

Analyzing the Factors on which Graduates get Admissions in Abroad and Visualizing some of the most intriguing and interesting patterns followed onto it using Data Analysis and Data Visualizations Using Machine Learning.

heart-uci-dataset

Analyzing the Features which leads to heart diseases and visualizing the models' performance and important features using eli5, shap and pdp.

hr-analytics

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

insurance-claim-prediction

In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Data Visualization are also performed to support Analysis.

iris-dataset

My first Machine Learning Repository, It is based on Classification of three different classes called setosa, virginica and versicolor

loan-default-prediction

L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’. where I have predicted whether the customer will be defaulter in the first EMI payment using different algorithms from machine learning

loan-prediction

Predicting whether a person who has applied for a loan in a bank would get his/her loan approved or not using Classification Algorithms in Machine Learning, by looking at some common and useful attributes.

market-basket-analysis

Using Apriori Algorithm to do Market Basket Analysis of Customers purchasing behaviours. It can predict what the customer is going to buy next by looking at the products he is buying.

online-retail-transactions-of-uk

Analyzing the Online Transactions in UK and the countries who are purchase stuff from them and analyzing the reviews from them using NLP and Machine Learning

online-shoppers-purchasing-intention

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

pakistan-suicide-bombing-dataset

Analyzing the Suicide Bombing Patterns and seeking some of the most tangled questions with good visualizations with the help of Machine Learning and Data Science.

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