Jagdish Chandra Joshi's Projects
Codes related to activities on AV including articles, hackathons and discussions.
Winning solution for Analytics Vidhya Mini Hack
Club Mahindra DataOlympics 03-05-2019 - 05-05-2019
Solution and approach for datahulk competion hosted by analyticsvidhya.com
code for the analytics vidhya hackathons
Bayesian Optimization using xgboost and sklearn API
A Python implementation of global optimization with gaussian processes.
Sleek, intuitive, and powerful front-end framework for faster and easier web development.
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
A repository of machine learning codes written for re-usability
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
The GitHub repo for Dave Langer's YouTube video series on data wrangling and feature engineering with the dplyr package in R.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Building Deep Learning models in Keras
Codes used for the hack session in DHS 2019
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition
The fastai book, published as Jupyter Notebooks
Public repo for the YouTube series "Introduction to Time Series Forecasting with R".
Config files for my GitHub profile.
My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.
Repository with my code for Kaggle Plant Seedlings Classification Competition
Codes written for diff problems
Movie plots by genre tutorial at PyData Berlin 2016
Set of real world data science tasks completed using the Python Pandas library
A course in reinforcement learning in the wild
Resources for Learning Python