There are a million machine learning tutorials and courses out there which makes it really hard to choose the right one for you.

Here are some that I really like that you might find useful.
🧵 👇🏻
Before we begin, here's some unsolicited advice.

It is not about how many courses you take that matters but the problems that you solve with your knowledge.

You can take any combination of courses and tutorials from this list that you think will be useful.
Python crash course by Traversy Media (YouTube)

• Introduces you to a lot of basic concepts in Python
• Only 1.5 hours long
Intermediate Python course (YouTube)

• Helps you understand some of the more difficult concepts in Python
The neural networks series by 3blue1brown (YouTube)

• Visually explains neural networks
• Short and concise
The machine learning foundations course (YouTube)

• Great for beginners (I started with this one)
• No math pre-requisites
• Fantastic introduction to computer vision and NLP withTensorFlow
Sklearn crash course (YouTube)

• Short 2-hour tutorial
• Introduces you to many features of sklearn
Kaggle microcourses

• A set of bite-sized courses
• Easy to understand
• Only take the ones that are useful to you
Andrew Ng's machine learning course (Coursera)

• Math heavy
• Solid introduction to machine learning concepts
Scikit-Learn full course

• Introduces you to several classical machine learning algorithims
Data Analysis with Python - Full Course (YouTube)

• Introduces you to Pandas, Matplotlib, Numpy and Seaborn
fast.​ai course

• Uses the fast.​ai library based on PyTorch
• Great balance of math and programming excercises
MIT 6.S191 : Introduction to Deep Learning

• Live lectures from MIT
• Includes great project work
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More from @PrasoonPratham

2 May
Machine learning models can lie if you're not careful.

Here's how🧵 👇🏻
Not all machine learning models are the same but typically we look at 2
metrics for determining how good a model is.

They are (generally):
A. Accuracy : How accurate our model is (more the better)
B. Loss : How 'wrong' our model is (less the bettter)
In order to avoid overfitting, we split our data into 2 parts, one for training the model and the other for 'Validation'.

After every round of training the model,it is evaluated on the validation set.

This is done to ensure that the model does not memorize but learns instead.
Read 8 tweets
19 Apr
This is a step-by-step guide on how you can solve the Titanic disaster challenge on Kaggle.

🧵 👇🏻 Image
Kaggle challenges are a great way to practice your machine learning skills.

In this thread, we'll go through each step for solving the beginner friendly titanic disaster challenge.
These are the key steps that we will go over:

- Cleaning the data
- Training a machine learning model using decision trees in Sklearn
- Making a submission to Kaggle using the predictions from our training model
Read 28 tweets
17 Apr
This is a complete roadmap for mastering Python.

🧵 👇🏻
Basic Topics

- Variables
- Conditions
- Chained Conditionals
- Operators
- Control Flow (If/Else)
- Loops and Iterables
- Basic Data Structures
- Functions
- Mutable vs Immutable
- Common Methods
- File IO
Intermediate Topics

- Object Oriented Programming
- Data Structures
- Comprehensions
- Lambda Functions
- Map, Filter
- Collections
- *args & **kwargs
- Inheritance
- Dunder Methods
- PIP
- Environments
- Modules
- Async IO
Read 6 tweets
16 Apr
I've spent countless hours trying out different themes, fonts and what not to make VS code look beautiful.

Here's how you can do same in 5 minutes.
🧵 👇🏻
The Theme: One Dark Pro

This theme is very similar to what is used in the Atom text editor and is my theme of choice.

Looks great on Python and JavaScript.

marketplace.visualstudio.com/items?itemName…
Icons: Material Icon Theme

This extention adds icons to the files, a nice small detail.

marketplace.visualstudio.com/items?itemName…
Read 6 tweets
15 Apr
A list of my favourite tutorials for learning Python as a beginner.

🧵 👇🏻
All the tutorials below include the basics like installation, variables etc.

I've also listed out the key highlights of each tutorial so that it is easy for you decide which one to pick.
Before going through these tutorials I would highly suggest you to go through this thread if you are a complete beginner.

Read 10 tweets
28 Mar
I am on Bitclout, buy $prasoonpratham before we go to the moon 😉

bitclout.com/u/prasoonprath…
Wow 2k in 8 minutes! 🚀
Read 4 tweets

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