Sports Analytics in Python
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Updated
Jun 1, 2023 - HTML
Sports Analytics in Python
A dengue prediction model created as a part of Environment Studies offered in S4, CSE NITC
In the project we built the following algorithms : Decision Tree Classifiier and Regressor, AdaBoost Classifiier , Gradient Boost Regressor
This repository is dedicated to the study of functional trait divergence using machine learning methodologies. It encompasses datasets, code, tables, and visual representations pertinent to the research.
Term Deposit Subscription Prediction Model
This repository contains code for my Machine Learning Basic Nanodegree Project.
Help Carvana determine which cars should be avoided at used car auctions
Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package
Kaggle's: Machine Learning from Otto Group Product Classification Challenge. Demonstrates basic machine learning, analysis, and visualization techniques.
The project focuses on the Exploratory Data Analysis (EDA) of the given Performance dataset, which includes marks obtained by students in different subjects.
Predicting Wine Quality with Random Forest Algorithm
This projects contains a work of data mining with various machine learning and deep learning techniques
6th Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Model Tuning (GridSearchCV & RandomizedSearchCV)
This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost
Price diamonds using regression and decision tree models
This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.
Model for easy facilitation of visa processing and approvals
A churn prediction case study focused on cleaning, analyzing, and modeling ride-sharing data aimed at seeking the best predictors for retention
I worked on this Live project while working as a Machine Learning Intern at Internship Studio that was offered by National Engineering Olympiad 5.0
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