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
📓 [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.
Snorkel - Bootstrap your Data Science
This repository contains Jupyter Notebooks explaining Data Science concepts.
Data science and machine learning portfolio
Analysis of the booking data of a hotel chain/ hotel cooperation with five properties in locations.
Hear All Solution In R Language
Example of map plotting on a jupyter notebook. I apply what I learned in the Python for Data Science course at the University of California San Diego. (https://credentials.edx.org/records/programs/shared/68aa6a10ec1f456fb755953418ef61b4/) (https://courses.edx.org/certificates/8fd69041d1e4402b9979d072618f3672)
A collection of awesome software, libraries, learning tutorials and frameworks, technical resources and cool stuff about Data Science.
These Notebooks Illustrate Python with Data Science in an elaborated way.
My Assignment work on Data-Analysis, Data-Visualization, and Machine learning Algorithms.
The guide to master Data Science: the Python way
Implementation of kMeans from scratch using python. Allows choosing k and number of iterations. Also Plot clusters and centroid after each iteration
Data Science for Good - Resources
Repository for my blog
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