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# Announcement-on-ML
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<a href='http://www.kgptalkie.com' target="_blank"> <img src='https://github.com/laxmimerit/Important-Announcement-on-ML/raw/master/kgptalkie_strips.png'/></a>
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# ML Resources
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| ML Course | Description |
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|:---|:---|
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| [**Data Visualization in Python Masterclass™: Beginners to Pro**](https://bit.ly/udemy95off_kgptalkie) | Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow. |
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| [**Python for Machine Learning: A Step-by-Step Guide**](https://bit.ly/ml-ds-project) | Learn to build Machine Learning and Deep Learning models using Python and its libraries like Scikit-Learn, Keras, and TensorFlow. |
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| [**Deep Learning for Beginners with Python**](https://bit.ly/dl-with-python) | Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More. |
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| [**Python for Linear Regression in Machine Learning**](https://bit.ly/regression-python) | Learn to build Linear Regression models using Python and its libraries like Scikit-Learn. |
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| [**Introduction to Spacy 3 for Natural Language Processing**](https://bit.ly/spacy-intro) | Learn to build Natural Language Processing models using Python and its libraries like Spacy. |
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| [**Advanced Machine Learning and Deep Learning Projects**](https://bit.ly/kgptalkie_ml_projects) | Learn to build Advanced Machine Learning and Deep Learning models using Python and transformer models like BERT, GPT-2, and XLNet. |
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| [**Natural Language Processing in Python for Beginners**](https://bit.ly/intro_nlp) | Learn to build Natural Language Processing Projects using Spacy, NLTK, and Gensim, and transformer models like BERT, GPT-2, and XLNet. |
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| [**Deployment of Machine Learning Models in Production in Python**](https://bit.ly/bert_nlp) | Learn to deploy Machine Learning and Deep Learning models using Python and its libraries like Flask, Streamlit, and NGINX. |
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| [**R 4.0 Programming for Data Science - Beginners to Pro**](https://bit.ly/r4-ml) | Learn to build Machine Learning and Deep Learning models using R and its libraries like caret, tidyverse, and keras. |

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