Sushil Nath Gupta's repositories
100_Day_Of_ML_Code
All about the 100 days of machine learning coding.
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Bank-Marketing-Data-
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.
ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
cufflinks
Productivity Tools for Plotly + Pandas
Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)
Exploratory_data_analysis
All about exploratory data analysis
fastText
Library for fast text representation and classification.
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Identify-the-author-
Whose Line Is It Anyway: Identify The Author Hackathon
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
Linguipedia_CodeFest-
About Linguipedia codeFest Natural Language Processing
machine_learning_examples
A collection of machine learning examples and tutorials.
matplotlib
matplotlib: plotting with Python
numpy
Numpy main repository
Resume_Sushil
My Resume
Sentiment-Analysis-Twitter
:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.
Stock-Price-Forecasting-
Stock Price Forecasting
TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
winerama-recommender-tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
WordCloud-
Word Scraping and WordCloud
ZS_AntiSocial_Challenge-
Anti-Social challenge (Predict, Is user turn anti-social or not?)