Exploratory Data Analysis (EDA), Regression, Classification, Clustering, Recommendation System, Deep Learning and other Machine Learning Algorithms
-
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
An Introduction to Data Science and Data Visualization with the FAU Data Science and Machine Learning Club
This repo contains the source code for the course "Python para Data Science" from Alura
Exercícios e materiais do curso de Data Science.
It consist of netflix data science project for beginners.
Contains some useful data science snippets in Kaggle notebooks
Data science Machine Learning Projects
Python data science projects completed during my IBM Professional Data Science Certification.
IBM Data Science Professional Program designed to equip you with the latest skills and tools used by professional data scientists.
Learning Data Science
School projects on Data Science, using Python and R
This repository contains the assignments, done by me, of Data Science Course from PW. Uses of Python, Jupyter notesbooks, data sets, ML, Statistics.
Kaggle data science competition to predict back order risk for products based on historical data
Kickstart your career in Data Science
Data Science/ Analysis projects
This repository contains multiple projects of my Bharat Intern Internship
Curso Python Fundamentos para Análise de Dados - Data Science Academy.
Resource about learning Applied Data Science with Python Offered By IBM - Platform cognitiveclass.ai