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Deep Learning for Beginners with Python
Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More.

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.

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.

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 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.

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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