David Andrรฉs ๐ค๐๐
๐ I summarise Machine Learning, NLP and Time Series concepts in an easy and visual way โข ๐Follow me in https://t.co/hy44Q0jFQs ๐ Inquiries in david@mlpills.dev
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K-Nearest Neighbors clearly explained ๐ https://t.co/U0irGMyzLE
Normal Distribution clearly explained ๐ https://t.co/WrBOgcj9bS
Logistic Regression clearly explained ๐ https://t.co/Uq3huEYyq9
Do you want to build a Language Model Application? Then, you need to try LangChain! ๐ ๐งต https://t.co/4JC1IJUrk6
๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐ฐ๐ฒ measures the contribution of each feature to the model's predictions. It is crucial in Machine Learning for several reasons. Let's see them ๐งต๐ https://t.co/LQj...
SHAP is a powerful technique in machine learning for interpreting the output of complex models. Commonly used for โจFeature Engineeringโจ Let's explore SHAP further ๐งต ๐ https://t.c...
ARIMA is one of the most popular traditional statistical methods used for time series forecasting. Let's understand its components ๐งต ๐ https://t.co/yYW4Z7EFAO
What is the difference between Classification and Regression in Machine Learning? ๐ค ๐งต ๐ https://t.co/Bnfw8Qjx86
You can forecast Time Series data using a Machine Learning algorithm like XGBoost or Random Forest. However, you need to reframe your problem as a Supervised Learning one. Learn...
Understanding feature importance in machine learning models is essential for interpreting their predictions. Today I'll share with you 2 methods to get it ๐งต ๐ https://t.co/mIOZYRp...
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...
How can you estimate a suitable value for 'p' in your ARIMA model? Here you have the definite guide! ๐งต๐ https://t.co/Y4avl7E1j8