
Natural Language processing
Natural Language processing (36h) String preprocessing (re) • Embedding & Word2Vec • RNN • LSTM & GRU • Text classification • LDA • Glove •
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Natural Language processing (36h) String preprocessing (re) • Embedding & Word2Vec • RNN • LSTM & GRU • Text classification • LDA • Glove •

Computer vison Course 80 HRS Module one: Numpy & OpenCv (12h) NumPy o Create Numpy Array o Indexing o Array Attributes o Arithmetic and Logic

Artificial Neural Networks (20h) Difference between AI, DL, ML and ANN Introduction to Neural Networks Deep Learning with Pytorch Linear Regression Binary Classification Logistic Regression

Data Preprocessing & OpenCv (24h) NumPy o Create Numpy Array o Indexing o Arithmetic and Logic o Universal Array Functions Pandas o Series o Data

Machine learning Diploma 100 HRS Module one: Python Basics o why python? o python with AI and ML o Input & Output o Variables o

Course content : 24 hr History why python? python with AI and ML Input & Output Variables Boolean & Comparison and Logic If Conditions For

Deep Learning diploma 80 HR Module one: Python why python? python with AI and ML Input & Output Variables Data types Boolean & Comparison and
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