Solutions of Machine learning contests
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Updated
Aug 1, 2017 - DIGITAL Command Language
Solutions of Machine learning contests
Machine learning using Sci-Kit Learn
Repository for work/papers done in Georgia Tech's CS 4641 Machine Learning course
This project involves training the Logistic Regression model in the Scikit-Learn Library to classify various features of the iris dataset.
Predict win rate
Enhance data analysis and machine learning skills in the 'Industrial Copper Modeling' project. Tackle complex sales data challenges, employ regression models for pricing predictions, and master lead classification for targeted customer solution
Kaggle competition: Predicting diamonds prices
Config files for my GitHub profile.
Repository of All ML and Deep Learning Projects
Hands on Machine Learning algorithms using Scikit-Learn python library.
Analyzed a dataset of credit card fraud information using matplotlib and machine learning classification models to determine trends in fraudulent purchases.
The project is aimed to predict the sallary of an employee vs. the number years of experience using polynomial linear regression
Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk
Viability of Neural Network MLP to predict churn and K-means customer clustering.
Analyzed customer data to identify factors that contribute to churn. Developed recommendations for reducing churn, including targeted retention offers and improving customer service.
This project uses machine learning techniques to predict the First Innings Scores of teams in IPL matches involving 8 teams. The aim is to accurately predict the outcome of these matches, providing insights for cricket enthusiasts alike.
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