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Announcement-on-ML
ML Resources
| ML Course | Description |
|---|---|
| Data Visualization in Python Masterclass™: Beginners to Pro | Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow. |
| Python for Machine Learning: A Step-by-Step Guide | Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow. |
| Deep Learning for Beginners with Python | Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More. |
| Python for Linear Regression in Machine Learning | Learn to build Linear Regression models using Python and its libraries like Scikit-Learn. |
| Introduction to Spacy 3 for Natural Language Processing | Learn to build Natural Language Processing models using Python and its libraries like Spacy. |
| Advanced Machine Learning and Deep Learning Projects | Learn to build Advanced Machine Learning and Deep Learning models using Python and transformer models like BERT, GPT-2, and XLNet. |
| Natural Language Processing in Python for Beginners | Learn to build Natural Language Processing Projects using Spacy, NLTK, and Gensim, and transformer models like BERT, GPT-2, and XLNet. |
| Deployment of Machine Learning Models in Production in Python | Learn to deploy Machine Learning and Deep Learning models using Python and its libraries like Flask, Streamlit, and NGINX. |
| R 4.0 Programming for Data Science - Beginners to Pro | Learn to build Machine Learning and Deep Learning models using R and its libraries like caret, tidyverse, and keras. |
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