devanshsrivastava

-Facebook-Field-Guide-to-Machine-Learning-

So this is a guide to best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems.

BoardGame-Review-Prediction

Used Linear regression and random forest to predict the average user rating for any game.There are around 80,000 games in this dataset divided into training and test datasets.

Clipboard.js

A great javascript utility project for copying text

code

Compilation of R and Python programming codes

CreditCardFraudDetection

Using Isolation Forest and Local outlier model on dataset used from Kaggle on credit cards

DNA-Sequencing-using-K-mers

Classification project based on K-mers algorithms that helps in genome sequencing

Learn-Feature-Engineering

Feature engineering is an important area in the field of machine learning and data analysis. It helps in data cleaning process where data scientists and analysts spend most of their time on

Learn-Matplotlib

Pytorch-Basics

Notes and Code snippets relate to PyTorch

Telco-Churn-Retention-Rate

We will predict the retention rate of employees using TensorFlow and Keras

devanshsrivastava/-Facebook-Field-Guide-to-Machine-Learning-

So this is a guide to best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems.

devanshsrivastava/BoardGame-Review-Prediction

Used Linear regression and random forest to predict the average user rating for any game.There are around 80,000 games in this dataset divided into training and test datasets.

devanshsrivastava/Clipboard.js

A great javascript utility project for copying text

devanshsrivastava/code

Compilation of R and Python programming codes

devanshsrivastava/CreditCardFraudDetection

Using Isolation Forest and Local outlier model on dataset used from Kaggle on credit cards

devanshsrivastava/DNA-Sequencing-using-K-mers

Classification project based on K-mers algorithms that helps in genome sequencing

devanshsrivastava/Learn-Feature-Engineering

Feature engineering is an important area in the field of machine learning and data analysis. It helps in data cleaning process where data scientists and analysts spend most of their time on

devanshsrivastava/Learn-Matplotlib

devanshsrivastava/Pytorch-Basics

Notes and Code snippets relate to PyTorch

devanshsrivastava/Telco-Churn-Retention-Rate

We will predict the retention rate of employees using TensorFlow and Keras

devanshsrivastava/Covid-19-Info

Covid-19 daily news and tracker

devanshsrivastava/Filter-list

js based filter list

devanshsrivastava/landing-page

Bootstrap landing page

devanshsrivastava/Learn-Numpy

devanshsrivastava/Learn-Pandas

Learn about Pandas Library with code snippets using Jupyter Notebook

devanshsrivastava/Linear-Regression

We will use Linear Regression to predict price for house of certain area

devanshsrivastava/Lux-PyLib

We will be implementing Lux which is a Python library that makes data science easier by automating aspects of the data exploration process.

devanshsrivastava/Multi-Variate-Regression

We will predict the house prices using multiple variables this time

devanshsrivastava/OneHotEncoding-and-Label-Encoding

One-Hot Encoding This is where the integer encoded variable is removed and a new binary variable is added for each unique integer value. We will see both encoding techniques based on type of data used

devanshsrivastava/py

Repository to store sample python programs for python learning

devanshsrivastava/React-Crud-App

EDIT,UPDATE,DELETE,CREATE YOUR PRODUCTS MANAGER LIST

devanshsrivastava/react-learning

This is a LinkedIn Learning repo for Hands-On React.

devanshsrivastava/React-Weather-App

React based app using open weather api

devanshsrivastava/Reddit-Clone

A reddit like application using spring boot and spring security. Frontend will be made using Angular 9

devanshsrivastava/Rock-Paper-Scissor-Game

devanshsrivastava/slideshow

panel purely based on javascript

devanshsrivastava/Splitting-Data

The train-test split procedure is used to estimate the performance of machine learning algorithms when they are used to make predictions on data not used to train the model.

devanshsrivastava/The-Best-Books-on-Blockchain

"The main advantage of blockchain technology is supposed to be that it's more secure, but new technologies are generally hard for people to trust, and this paradox can't really be avoided." ― Vitalik Buterin

devanshsrivastava/TO-DO-LIST

JS based todo list

devanshsrivastava/weight-converter

js based converter/bootstrap