Machine Learning
1297 Threads
Creating the right features for Time Series data can make a significant impact on the performance of your model. Today I'll introduce 2 key ones, essential for capturing the seque...
The volume of LLM research being released is staggering. Although there are too many new papers for any one person to read, this work can be largely distilled into a much smaller s...
Having an imbalanced dataset is a problem. ๐ Discover SMOTE, it can help you deal with this! ๐งต ๐ https://t.co/t3AaqAo15o
Amazon has released tons of FREE courses on AI. No payment required! Here are 7 Amazon courses to master Artificial Intelligence ๐ https://t.co/XRpeXmAD6p
Struggling with Machine Learning algorithms? ๐ค Then you better stay with me! ๐ค Today I am starting with a new ML model ... so it is the turn of Logistic Regression! ๐๐ป https://t...
Are you familiar with the most common Machine Learning algorithms? Today, I will complete the Top 10 of the most commonly used ones! Check them out ๐งต ๐ https://t.co/j80Dxpgl4R
Machine learning in finance is quite elusive When I began this journey 2 years ago, there weren't many end-to-end examples to learn from If your new to this area - then here are...
K-means Clustering. With the OpenBB Platform, this means Profit. Check out how... ๐งต 1/4 https://t.co/fbsCubStIM
How bootstrap is used in ML? Bootstrap is a powerful statistical tool, but we can apply it in ML too. Let's figure out how! ๐ https://t.co/zopo6ZGFuX
Are you familiar with the most common Machine Learning algorithms? Today, I introduce 6 of the most commonly used ones! Check them out ๐งต ๐ https://t.co/tTmaUAGf9W
if you know python, you don't need any LLMops. trust , i've training models and deployed production applications that serve at >350M requests a day. just need `pip install` and s...
Let me share a secret about real-world ML: It's always about the data not the model! And the data is always flawed! Introducing ObjectLab, a new algorithm that can automatically...
Struggling with Machine Learning algorithms? ๐ค Then you better stay with me! ๐ค Today, we're diving into the world of Linear Regression - both DIY style and using handy libraries!...
Which one is the best classification algorithm? Don't forget this line: 'All models are wrong, but some models are useful.' - George Box Here are 5 classification models to star...
Training NLP and CV models from scratch is a waste of resources. Instead, apply transfer learning using pre-trained models. Here's how transfer learning works in 6 steps:
Struggling with Machine Learning algorithms? ๐ค Then you better stay with me! ๐ค Today I am starting a new series of threads to simplify ML algorithms. ...and Linear Regression is...
Machine learning for finance can be tricky So let's break it down in a step-by-step case study ๐งต This time - let's create a model, and use explainable ML techniques to understand...
5 Regression Algorithms you should know ๐งต https://t.co/uIZDZZaKub
Machine learning for finance can be tricky! So let's explore with another step-by-step case study ๐งต This time, let's use ML to find time series patterns across multiple instrumen...
A machine learning framework for speculators and data scientists: AlphaPy Here's what you can do: โข Run machine learning models โข Generate blended or stacked ensembles โข Create...
Iโm thrilled to announce that I'll be joining @iitmadras as an Assistant Professor in April 2024! Iโm immensely grateful to my amazing mentors, family, and friends for their unwav...
What if you could predict price action? That is exactly what machine learning can accomplish, But it's one of the most challenging things to do correctly. Until I read this book...
Machine learning for finance is hard. So let's take a step-by-step case study in this ๐งต This time - let's ask ML to find patterns without giving it any direction, and use those p...
This is what they took away from us. https://t.co/lQscUqm6It
