Adarsh's repositories

decision-tree

implementation of decision tree regressor and classifier

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Deep-learning

concepts of deep learning

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demd-mt

Initial commit

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gradient-descent

python implementation of stochastic and batch gradient descent

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housing-price-prediction

predicting the price of house based on different features given

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k-fold-cross-validation

Implementation of k-fold cross-validation

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KNN-classifier

Implementation of k-nearest neighbor classifier

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maths-for-ML

python implementation of concepts of mathematics used for machine learning

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model-comparison

Comparison between different models

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NBEATS-Revin-implementation

This repository consists the implementation of a univariate forecasting framework using NBEATS and RIVIN in pytorch

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python-for-data-science

python used in data science

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python_practice_codes

This directory has some basic codes for python practice

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R-Language

Introduction to R language

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recommender-system

different types of recommender system

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Ridge_Lasso_regression

This repository contains the implementation of ridge, lasso and polynomial regression.

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statistics

statistics with python

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telecom-churn-prediction

Given the telecom dataset, predict whether the customer will churn or not

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text-analytics

Text analytics and Natural Language Processing

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time-series

Time series analysis and forcasting

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uber-data-analysis

Perform exploratory data analysis (EDA) on the dataset of uber rides of a single user to derive insights

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