ML For Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Creator: microsoft
Stars ⭐️: 53.7k
Forked By: 11.3k
https://github.com/microsoft/ML-For-Beginners

Who is Data Scientist?

He/she is responsible for collecting, analyzing and interpreting the results, through a large amount of data. This process is used to take an important decision for the business, which can affect the growth and help to face compititon in the market.

A data scientist analyzes data to extract actionable insight from it. More specifically, a data scientist:

Determines correct datasets and variables.

Identifies the most challenging data-analytics problems.

Collects large sets of data- structured and unstructured, from different sources.

Cleans and validates data ensuring accuracy, completeness, and uniformity.

Builds and applies models and algorithms to mine stores of big data.

Analyzes data to recognize patterns and trends.

Interprets data to find solutions.

Communicates findings to stakeholders using tools like visualization.

SQL for Data Science

Data Science Roadmap

Data science Lifecycle

Key data science programming languages and tools

Data Science Roadmap

Amazon is hiring Data Scientist Intern!
Qualifications: Bachelor’s/ Master’s Degree
Salary: Upto 11 LPA (Expected)
Experience: Freshers/ Experienced
Location: PAN India

📌Apply Link: https://www.amazon.jobs/en-gb/jobs/2437708/data-scientist-intern

Deep Learning with PyTorch

📚 book

Some useful telegram channels to learn data analytics & data science

Python interview books
👇👇
https://t.iss.one/dsabooks

Data Analyst Interviews
👇👇
https://t.iss.one/DataAnalystInterview

SQL for data analysis
👇👇
https://t.iss.one/sqlanalyst

Data Science &  Machine Learning
👇👇
https://t.iss.one/datasciencefun

Data Science Projects
👇👇
https://t.iss.one/pythonspecialist

Python for data analysis
👇👇
https://t.iss.one/pythonanalyst

Excel for data analysis
👇👇
https://t.iss.one/excel_analyst

Power BI/ Tableau
👇👇
https://t.iss.one/PowerBI_analyst

Data Analysis Books
👇👇
https://t.iss.one/learndataanalysis

Data Structure Cheat Sheet

Hi guys, this is a group for people who want to discuss, solve, and work on a kaggle competitions & projects.
👇👇
https://t.iss.one/Kaggle_Group

Multimodal Deep Learning

This book is the result of a seminar in which we reviewed multimodal approaches and attempted to create a solid overview of the field, starting with the current state-of-the-art approaches in the two subfields of Deep Learning individually.