Adarsh's repositories
decision-tree
implementation of decision tree regressor and classifier
Deep-learning
concepts of deep learning
demd-mt
Initial commit
gradient-descent
python implementation of stochastic and batch gradient descent
housing-price-prediction
predicting the price of house based on different features given
k-fold-cross-validation
Implementation of k-fold cross-validation
KNN-classifier
Implementation of k-nearest neighbor classifier
maths-for-ML
python implementation of concepts of mathematics used for machine learning
model-comparison
Comparison between different models
NBEATS-Revin-implementation
This repository consists the implementation of a univariate forecasting framework using NBEATS and RIVIN in pytorch
python-for-data-science
python used in data science
python_practice_codes
This directory has some basic codes for python practice
R-Language
Introduction to R language
recommender-system
different types of recommender system
Ridge_Lasso_regression
This repository contains the implementation of ridge, lasso and polynomial regression.
statistics
statistics with python
telecom-churn-prediction
Given the telecom dataset, predict whether the customer will churn or not
text-analytics
Text analytics and Natural Language Processing
time-series
Time series analysis and forcasting
uber-data-analysis
Perform exploratory data analysis (EDA) on the dataset of uber rides of a single user to derive insights