Abhishek Bhardwaj's repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-gcp-certifications
Google Cloud Platform Certification resources.
business_closures_de_pipeline
Data Engineering pipeline hosted entirely in the AWS ecosystem utilizing DocumentDB as the database
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Data-Science-And-Big-Data-Analytics
Notes and code from Data Science and Big Data Analytics: Making Data-Driven Decisions, a course by MIT xPro.
Data-Science-projects
Data Science Projects
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Digital-Marketing-Analytics
This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
GCP-Big-Data-ML
Notes for the Google Cloud Platform Big Data and Machine Learning Fundamentals course.
Graph_Powered_ML_Workshop
Material and Notebooks for the Graph Powered ML Workshop.
HackerrankPractice
170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL
Learning-PySpark
Code repository for Learning PySpark by Packt
Market-Mix-Modeling
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
nlp_workshop_odsc19
Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
PlainSight-bitcamp-2021
Chrome extension that uses Google Vision to identify people and display a Wikipedia summary.
Plotly-Dashboards-with-Dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
spark-py-notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
spark-syntax
This is a repo documenting the best practices in PySpark.
text-analytics-with-python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Trading_Strategy_Backtests
A collection of my trading strategy backtests in Python