Exploratory Data Analysis (EDA), Regression, Classification, Clustering, Recommendation System, Deep Learning and other Machine Learning Algorithms
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Updated
Dec 21, 2022 - Jupyter Notebook
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Exploratory Data Analysis (EDA), Regression, Classification, Clustering, Recommendation System, Deep Learning and other Machine Learning Algorithms
Exercícios e materiais do curso de Data Science.
Python data science projects completed during my IBM Professional Data Science Certification.
It consist of netflix data science project for beginners.
IBM Data Science Professional Program designed to equip you with the latest skills and tools used by professional data scientists.
This repo contains the source code for the course "Python para Data Science" from Alura
Data Science/ Analysis projects
This repository holds all interesting data science projects I am doing or have done
Kaggle data science competition to predict back order risk for products based on historical data
Repositorium für den Schwerpunkt "Data Science" im Studiengang AWM, Hochschule Ansbach
Data analysis on some of the survey data I have worked with so far
Data Science: Data Visualization for Health and Medicine
Resource about learning Applied Data Science with Python Offered By IBM - Platform cognitiveclass.ai
A simple data science project/hackathon done as part of SDS course
Capstone Project from Data Science Bootcamp
Data Science Masters Course. Here I will upload my learnings day wise.
Repository for Python & Data Science with Pablo YouTube Channel
66 Days of data log for learning accountability