Machine Learning notebooks for refreshing concepts.
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Updated
Aug 24, 2021 - Jupyter Notebook
Machine Learning notebooks for refreshing concepts.
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.
code, labs and lectures for the course
Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier
Snorkel - Bootstrap your Data Science
Data science and machine learning portfolio
A collection of awesome software, libraries, learning tutorials and frameworks, technical resources and cool stuff about Data Science.
Data Science tutorials authored by me. Will be updated as I create them/learn them!
Hear All Solution In R Language
This repository contains Jupyter Notebooks explaining Data Science concepts.
📓 [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.
Talk at Perth Python Data Science meetup on 2017/10/2
Data Science for Good - Resources
The guide to master Data Science: the Python way
Analysis of the booking data of a hotel chain/ hotel cooperation with five properties in locations.
DataTree - easy access and storage of data objects
A repo for understanding and implementing different data science techniques using various examples
My Assignment work on Data-Analysis, Data-Visualization, and Machine learning Algorithms.
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