jhaarti
Student. Major : Information and communication technology. Minor : Bioinformatics
RAMAN ( Robotics And Machine Analytics Lab) , MNIT, JaipurJaipur, Rajasthan
Pinned Repositories
linear_quantiation_for_LLMs
Sales_Prediction
LINEAR REGRESSION.
Adaptive-Learning-System-with-LLMs
Bank_stock_finance_analysis
Digits_Analyzer
DECISION TREE CLASSIFIER. This is a digit analyzer . The dataset used is also given . Further description is in the README.
E-Commerce
LINEAR REGRESSION . This repository is based on a query of a New York based e commerce clothing company which wants to know whether they should focus on their Moblie Application or their website. We are analysing the customer data and predicting the conclusion in the end. The dataset '.csv' file is given as well.
Heart_Disease_Classification
RANDOM FOREST AND KNN
Iris_Species
KNN.
K-Means-Clustering-Project
Lending_club_data_analysis_and-modeling
jhaarti's Repositories
jhaarti/Adaptive-Learning-System-with-LLMs
jhaarti/linear_quantiation_for_LLMs
jhaarti/Heart_Disease_Classification
RANDOM FOREST AND KNN
jhaarti/Lending_club_data_analysis_and-modeling
jhaarti/K-Means-Clustering-Project
jhaarti/Bank_stock_finance_analysis
jhaarti/Titanic_Dataset_
LOGISTIC REGRESSION.
jhaarti/Iris_Species
KNN.
jhaarti/Sales_Prediction
LINEAR REGRESSION.
jhaarti/E-Commerce
LINEAR REGRESSION . This repository is based on a query of a New York based e commerce clothing company which wants to know whether they should focus on their Moblie Application or their website. We are analysing the customer data and predicting the conclusion in the end. The dataset '.csv' file is given as well.
jhaarti/Digits_Analyzer
DECISION TREE CLASSIFIER. This is a digit analyzer . The dataset used is also given . Further description is in the README.
jhaarti/ScientificCalculator
JAVA. This is a scientific calculator created on NetBeans IDE.
jhaarti/Movie-Recommendation-System-Using-Python-
This recommendation system is user based and is a very simple recommendation system. Advanced recommendation systems are being used over the web by amazon and netflix, etc. But this can be a very good one in case you are new to python and data science (like me). You should give it a read :)