There are 21 repositories under data-science-notebook topic.
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
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.
Talk at Perth Python Data Science meetup on 2017/10/2
:notebook: [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.
Analysis of the booking data of a hotel chain/ hotel cooperation with five properties in locations.
A collection of Jupyter Notebooks : my understanding of theoretical and practical topics of Data Science
A repo for understanding and implementing different data science techniques using various examples
DataTree - easy access and storage of data objects
My Assignment work on Data-Analysis, Data-Visualization, and Machine learning Algorithms.
Data Science for Good - Resources
The guide to master Data Science: the Python way
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)
Repository for my blog
Predicting Daily Confirmed Cases in Hong Kong
Implementation of kMeans from scratch using python. Allows choosing k and number of iterations. Also Plot clusters and centroid after each iteration
Data science tutorials in the form of Python notebooks. Participating in Hacktoberfest 2021.
This branch consists of Data science projects from KAGGLE and other open source datasets.
This is my first professional course on Python. This repository contains the some exercises files and learning from the course on different sections like - Basic Python, Web Scrapping, Machine Learning etc.
A light data science notebook docker image build package.
Random bits of code I've developed
Learning machine-learning algorithms, applications, completed projects, completed courses from different online course academy.
These Notebooks Illustrate Python with Data Science in an elaborated way.
Investigating Udacity student engagement and performance.