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33-js-concepts

📜 33 JavaScript concepts every developer should know.

all-assignments

ann_classification

Tensorflow 2.0 and keras are used for Breast cancer wisconsin (diagnostic) dataset.

ann_regression_fake_0

This is an illustration to show the use of Artificial neural networks using Tensorflow 2.0 and keras. The dataset is fake and is for iluustration purpose only.

codechefsolutions

Contains solution of codechef problems solved by me.

codeial

A social media app made using nodejs, express and mongodb

dueclearence

Major Project (Stage 1)

eventmanager

An event management system using C++ Object Oriented Programming concepts.

express-hello-world

Express Hello World Example on Render https://render.com

fictional-octo-parakeet

My first repository

fym

This is a fullstack web application made with MVC architecture with the idea to connect techies.

hacktoberfest2k19

This repo is meant for HacktoberFest2k19 workshop

helloworld

make Any code related file and make a pr

house-price-in-king-county_ann

It is a regression model trained by me to predict house prices in King County(Seattle), with the help of ANN's using Tensorflow 2.0 and keras.

iamchetansharma8

iamchetansharma8.github.io

Website Repository

instabot

An Instagram bot

k_means_clustering_0

This is the implementation of K_Means_Clustering algorithm using Scikit Learn and python in jupyter notebook.

knn_0

You've been given a classified data set from a company! They've hidden the feature column names but have given you the data and the target classes. We'll try to use KNN to create a model that directly predicts a class for a new data point based off of the features. Let's grab it and use it!

linear_regression_0

Linear Regression with Python and Scikit Learn

logistic_regression_0

Logistic Regression on Titanic dataset to predict survival of passenger.

melodybox

Front end for a music player

mnist_cnn_keras

I have trained this model for recognising handwritten digits on famous MNIST dataset with the help of Convolutional neural networks using keras api for Tensorflow 2.0

oop-projects

Object-oriented projects created in C++ and Java. Utilizes data structure concepts and inheritance.

principal_component_analysis

This is the the implementation of Principal Component Analysis which is an unsupervised learning algorithm to reduce and use the most important features during prediction. I have used scikit learn built in breast cancer dataset and just two components of it for prediction to iluustrate pca.

python-programs

PYTHON

random_forest_0

This is an implementation of Random Forest algorithm using scikit learn and python.

rnn

The model is just an illustration to use Recurrent neural networks.

rnn_sales_data

I used Recurrent Neural Network for time series forecasting, using keras api for tensorflow 2.0

spoon-knife

This repo is for demonstration purposes only.