shanjivkumar's repositories
AppliedAICourse
This repo has all the code files which were created as part of the assignments to complete the Applied AI Course. The credit for code source structure and data goes to the Applied AI team.
AutoArima-Time-Series-Blog
This is the code notebook for the blog post on using Python and Auto ARIMA
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python-for-Data-Analysis-by-Wes-McKinney
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python-machine-learning-book-Raschka-Sebastian
The "Python Machine Learning (1st edition)" book code repository and info resource
Tutorial_ML-algorithms_Pandas_Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Udemy-Pandas-Course
Udemy course
Customer-Segmentation-in-Retail-Store
Clustering and customer segmentation of Retail Store.
Grocery-Store-Segmentation
Clustering and segmentation
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Kaggle---SRK
Codes for Kaggle Competitions
kaggle_mercedes
The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
Marketing-Clustering-Customer-Segmentation
This project goal is to apply kmeans clustering method to conduct customer, product, and store segmentation and have some basic understanding of customers, products and stores, and being able to use segmentation insights to power personalized promotions. The dataset include transaction data in a 2-year period and product category table.
ML-resources
A complete daily plan for studying to become a machine learning engineer.
ML-Resources-part-II-
common data analysis and machine learning tasks using python
Pandas_Exercises
Practice your pandas skills!
Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
Segmentation-and-Clustering
Clustering 85 grocery stores to aid grocery store supply chain.
stat479-deep-learning-ss19
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
Stock-Price-Prediction-in-Python
Stock Price Prediction using Machine Learning Techniques
Udacity-ML-Course-Materials
Content for Udacity's Machine Learning curriculum
Udemy
My udemy exercices