Machine Learning
1297 Threads
Wanna build an ML project but do not know where to start? No worries. Let me help you π€ β
Linear Regression in 5+1 easy steps! Create a predictive model in Python using scikit-learn. 𧡠https://t.co/rpK66bQEDb
Logistic Regression Implemented from scratch in Python π₯ Here is the step by step explanation with code. Threadπ§΅π https://t.co/d468PDLTP1
In the linked tweet I showed an application for ML in finance. Predicting trends in the SPY. This was with a random forest model, so, how does a deep learning LSTM compare? π€ Ca...
Errors in Linear regression β οΈ How do we know if our predictive model is good or bad? I will explain. 𧡠https://t.co/oDcyiVRG5r
Machine learning for finance is hard! So let's take a simple case, and break it down step-by-step in this 𧡠The application - a simple trend prediction on the SPY using a random...
Linear Regression is a powerful tool in machine learning. Read this 𧡠for the simplest explanation of Linear Regression. π½ https://t.co/UVl4TrnM1b
Tutorial Time: Run any open-source LLM locally. Now we will run an LLM on your M1/2 Mac. And its fast. All you need is @LMStudioAI let's get started. Good to be back. A thread h...
Advice for ML beginnersπ‘ GitHub actions are *free* computing that makes your life easier. Here are 3 use cases for ML projects β
ππ’ Checkout @Voyage_AI_ (during @OpenAI 's drama π) 1. Officially #1 embedding on @huggingface MTEB leaderboard, ahead of @OpenAI ada & @cohere new v3 π. 2. Now supporting distin...
Linear Algebra is FOUNDATIONAL to Data Science & Machine Learning. Hereβs 3 FREE Linear Algebra resources I highly recommend to build a strong foundation π§΅π
Weights and Biases are the engines in Neural Networks. I will explain how they work. 𧡠https://t.co/EY23pfMoQ1
Myth: AI bots are taking over the markets. Truth: Most shops still run Excel '97. Some shops using machine learning. 10 ways to use machine learning in trading (with the Pytho...
Top 5 high rated Mahine learning Books π π§΅:
Machine Learning students try more complex ML models when they wanna improve their results. So they miss the elephant in the room π β
How to make 100s of ML models in seconds. Using this dead-simple 4-step machine learning framework. A thread. 𧡠#DataScience #MachineLearning #Rstats https://t.co/Wvjenwjj0x
1/ Phew! Finally finished all 68 Python notebook exercises for "Understanding Deep Learning " book. Draft and notebooks at at: https://t.co/hqRA1xUPkk Pre-order your copy via: h...
MIT university is offering FREE education in Data Science. Courses cover: - Python - Data Science - Machine Learning - Statistics - Linear Algebra & - Deep Learning Learn from t...
Harvard University Is Offering Free Online AI Courses. No Payment Needed ($0) Here Are Free AI Courses To Become Skilled In 2023:
Choosing the right ML model can make or break your projectπ‘ This document lists down the pros and cons of each Machine Learning model. The models covered in this thread are: π§΅:
Excited to announce the newest update to the Cornell Open Applied ML course! We are releasing 16 chapters of open online lecture notes covering topics across ML: neural networks,...
Microsoft is offering FREE courses in following areas: - AI - IOT - Data Science - Machine Learning A project-based pedagogy that allows you to learn while building! π Read More...
β Cross-validation in ML is particularly useful for estimating how well a model will perform on unseen data - Explained in Simple terms. A quick thread π§΅ππ» #MachineLearning #...
i just built a completely private AI chatbot operational on Google Colab notebook, with no data leaving the notebook environment. itβs free and it works like a charm. built with:...
