Pinned Repositories
Automobile-Dataset-Analysis
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
awesome-dash
A curated list of awesome Dash (plotly) resources
Bhaskar-JR.github.io
dataweek-workshop
Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.
Kmeans-clustering-workshop
machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
Seaborn-Tutorial
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
stat_412_612
Teaching website for STAT 412/612 taught in Spring 2019 at American University.
The-Machine-Learning-Workshop
An interactive approach to understanding Machine Learning using scikit-learn
VBA-ArrayTools
Easily manipulate Arrays and Collections in VBA (sorting, filtering, conversions and more)
Bhaskar-JR's Repositories
Bhaskar-JR/Bhaskar-JR.github.io
Bhaskar-JR/Kmeans-clustering-workshop
Bhaskar-JR/machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
Bhaskar-JR/cheatsheets
RStudio Cheat Sheets
Bhaskar-JR/COMS4995-s20
COMS W4995 Applied Machine Learning - Spring 20
Bhaskar-JR/congress
Public domain data collectors for the work of Congress, including legislation, amendments, and votes.
Bhaskar-JR/data_to_viz
Leading to the dataviz you need
Bhaskar-JR/Dimensionality_reduction
Bhaskar-JR/dmba
Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
Bhaskar-JR/github-slideshow
A robot powered training repository :robot:
Bhaskar-JR/hackerrank
Collection of answers to the attempted Hackerrank challenges.
Bhaskar-JR/Infographics
Infographics related to HTML, CSS, JavaScript.
Bhaskar-JR/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Bhaskar-JR/jekyll-theme-basically-basic
Your new Jekyll default theme
Bhaskar-JR/linear-regression-workshop
Bhaskar-JR/logistic_regression_DSS
First draft of logistic regression workshop for DSS
Bhaskar-JR/Machine-Learning-Projects
This repository contains mini projects in machine learning with notebook files
Bhaskar-JR/Matplotlib_Review_2021
Bhaskar-JR/minimal
Minimal is a Jekyll theme for GitHub Pages
Bhaskar-JR/MLprojects
Credit Screening
Bhaskar-JR/scikit-learn
scikit-learn: machine learning in Python
Bhaskar-JR/scikit-learn-tips
:robot::zap: 50 scikit-learn tips
Bhaskar-JR/sql_book
Bhaskar-JR/statsintro-python-2e
Bhaskar-JR/stickyland
Break the linear presentation of Jupyter Notebooks with sticky cells!
Bhaskar-JR/svm-workshop
Bhaskar-JR/The-Pandas-Workshop
Bhaskar-JR/The-Python-Graph-Gallery
A website displaying hundreds of charts made with Python
Bhaskar-JR/traffic_prediction
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
Bhaskar-JR/WorkinProgress