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Sukriti Macker Profile picture
Sukriti Macker
@Sukriti_Macker
Grad Student at NYU 🇺🇸💜 | Let's talk about SQL, Python, Statistics, Machine Learning and Data Science
GollyG 💙 Profile picture Marco Ribeiro Profile picture 2 subscribed
Apr 4, 2022 • 5 tweets • 2 min read
Machine Learning Roadmap for BEGINNERS with resources!! 🤖🧵

1. Study mathematical concepts:-
a) Linear Algebra
b) Calculus
c) Probability
d) Statistics

2. Pick your programming language (preferably Python) 3. Start of with the basic Machine Learning Algos

4. Projects

5. Practice, practice, practice

Resources 👇🧵
Jan 31, 2022 • 10 tweets • 3 min read
Let's talk about R, shall we? 👩‍💻

8 Top Courses (FREE & Certification) for R Programming!! 👇 🧵 ➡️ R Programming by @freeCodeCamp
Free 2 Hours course to get you started!

🔗
Jan 24, 2022 • 7 tweets • 2 min read
Statistics plays a crucial role in Data Science!! 📊

Do you should know how to understand & interpret your data?? 🤔

Top FREE Courses for Statistics you must check out 👇🧵 ➡️ FreeCodeCamp on YouTube

🔗
Jan 11, 2022 • 6 tweets • 2 min read
Being in the industry of data science and machine learning, I cannot stress the importance of knowing Microsoft Excel. 🤯

Top 4 Free MS Excel Resources 👇 🧵 ➡️ Microsoft Excel by freeCodeCamp

Nov 27, 2021 • 7 tweets • 2 min read
Looking for Linux Command Line Courses?
Look no further! 🤩

Top 4 Free Linux Command Line Courses 👇👇 Some might not know the answer to:-

What is Linux?? ➡️ linux.com/what-is-linux/
Nov 20, 2021 • 7 tweets • 2 min read
Learn Git and GitHub together!

Some of you may be new to the programming world. Don't worry! I got you. 🚀

5 Top FREE resources for Git & GitHub 👇 🧵 ➡️ Git and GitHub for Beginners - Crash Course
🔗
Nov 13, 2021 • 12 tweets • 3 min read
Never underestimate the power of SQL in the life of a data scientist! 🚀

Top 10 FREE Beginner to Advance Level Courses for SQL (Includes best picks and certification courses too!)👇 🧵 ➡️ UpGrad SQL Course

Covers the basics of mySQL as well as advance topics like case statements, stored functions and others.
Bonus: Includes Certificate

🔗 upgrad.com/free-courses/
Nov 9, 2021 • 6 tweets • 2 min read
All the topics you would need to learn for Mathematics to understand the algorithms & concepts of Machine Learning.

Compiled thread for topic-wise resources for machine learning! 🤖

Let's go 🚀 👇 🧵 Linear Algebra
🔗
Oct 30, 2021 • 8 tweets • 2 min read
Did you think the Math Series for Machine Learning is over?? 🤔

Can we move to the concepts of Probability now? I guess, YES!

Best FREE Resources for Probability Concepts in Machine Learning 👇 🧵 ➡️ Statistics and Probability by KhanAcademy (Easy to understand)
🔗 khanacademy.org/math/statistic…
Oct 28, 2021 • 4 tweets • 1 min read
Simple HANDBOOKS to get you started in Machine Learning. 🤖 These can come super handy.

Why handbooks? 📓
They simplify the workflow for you and help you understand the basics of a topic. You can use them for overview.

I have two options for you. 👇 👇 ➡️ Rules of Machine Learning by Google
🔗 developers.google.com/machine-learni…
Oct 25, 2021 • 7 tweets • 2 min read
Maths for Machine Learning!! 🤖
(The series continues. We have a lot more topics to cover.)

Free BEST Courses for Calculus in Machine Learning 👇 🧵 ➡️ Essence of Calculus (YouTube Playlist)
🔗 youtube.com/playlist?list=…

For individual topics: mathsisfun.com/calculus/
Oct 23, 2021 • 5 tweets • 2 min read
Maths for Machine Learning!! ➕ ➖ ✖️ ➗
There are a lot of topics to cover. Let's look at each one!

Linear Algebra Concepts for Machine Learning! 🧵 👇 ➡️ Linear Algebra for Machine Learning by KhanAcademy

🔗 khanacademy.org/math/linear-al…
Oct 15, 2021 • 8 tweets • 2 min read
Statistics plays a crucial role in Data Science. So, get your fundamentals strong! 📊 📈

Top FREE Statistics Courses by Top Universities & Others👇 🧵 ➡️ Intro to Statistics by Duke University
🔗 udacity.com/course/intro-t…
Oct 11, 2021 • 6 tweets • 2 min read
Learn through practice ➡️ Build Python Projects! 🐍

Beginner-friendly Python Projects 👇 🧵 ⭐️ 140 Python Projects with Source Code:-
- Includes important python concept notebooks, YouTube channels you can follow, etc.

🔗 medium.datadriveninvestor.com/140-python-pro…
Sep 2, 2021 • 8 tweets • 2 min read
Show off your skills by doing projects. 😍

FREE Beginner-friendly project tutorials using Python! 🧵👇 1⃣ 12 Beginner Friendly Projects using Python
The tutorial is offered by FreeCodeCamp
Absolutely free!

Link:
Aug 30, 2021 • 8 tweets • 3 min read
Do you like reading tech blogs?? 🤔

Top Blogs/Websites for Data Science and Machine Learning!! 👇🧵 1⃣ Towards Data Science (TDS)
This is a one-stop website for all your data science and machine learning related queries.
There are various explanations for various topics dedicated to the field of data science.

Link: towardsdatascience.com
Aug 24, 2021 • 9 tweets • 2 min read
Want to start with SQL? It can be your first step into the programming world!

Top resources for SQL! 🧵👇 1⃣ SQL Course by DataCamp
Only 4 hours long!

Link: datacamp.com/courses/introd…
Aug 17, 2021 • 8 tweets • 2 min read
Are you looking for ways to start Data Science and Machine Learning? 🤔

FREE Data Science & Machine Learning Resources 🧵👇 1️⃣ Machine Learning Course by Google
Level: Beginner
Link: developers.google.com/machine-learni…
Aug 8, 2021 • 8 tweets • 2 min read
Top 5 FREE Python Courses on Udemy and Coursera!! 😍
(Plus a BONUS resource! 🌟)

Python Programming Resources 🧵👇 1⃣ Introduction To Python Programming
- Number of lectures: 18
- Level: Beginner
- Link: udemy.com/course/pythonf…
Aug 6, 2021 • 15 tweets • 4 min read
What is Accuracy in Machine Learning? Why shouldn't you use accuracy as a Performance Parameter? Is there a drawback? 🤔

A beginner-friendly explanation! 🧵👇 Performance Metrics and Acc... A compiled version of the thread: diveintodata.in/accuracy-perfo…
Jul 26, 2021 • 16 tweets • 4 min read
Have you found the concept of Decision Trees confusing? Well, this thread would be useful!

A beginner-friendly DETAILED explanation to Decision Trees 👇🧵 Decision Trees Concept in Machine Learning Algorithm 🌟 What is a Decision Tree?
It is a Classification Algorithm. Decision Trees can use it to solve Regression problems as well. It is a tree or graph-like structure with a root node, non-leaf nodes, leaf nodes and branches.

See an example of Decision Tree using AND Table (Image) Example of a Decision Tree with all the components