ValleyML Fellowship

Data Science Course covers the concepts and tools you need throughout the entire data science pipeline, from extracting meaningful information to making inferences and establishing results. What You Will Learn • Use of the statistics and probability to analyze data. • How to visualize data, carry out statistical analysis, make use of Exploratory data analysis (EDA), and how it powers data science. • Inferential and Bayesian statistics for data science. • Statistical methods as used in practical data science and Machine Learning. • Get In-depth knowledge of Python Programming to solve any data science problem. • Implement a production-quality contribution that adds functionality to an existing open source framework. By completing the 9-week fellowship program, you’ll be able to start analyzing data using statistical methods and embark on a thriving career as a data scientist.

Natural Language Processing (NLP) Course covers the concepts and techniques of deep learning needed to build cutting-edge NLP systems and to design NLP applications. What You Will Learn • An Overview of Natural Language Processing and Deep Learning techniques. • Recurrent neural networks (RNN) and their variants including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU). • Achieve in-depth knowledge about Language modeling. • Gain In-depth understanding of Attention mechanism. • Get Hands-on Practice for Text Classification and Machine Translation. • Gain knowledge about Transformer from top industry experts. By completing the 9-week fellowship program, you will be able to build NLP applications using deep learning techniques. This will mark the start of your journey to begin solving real-world problems such as language translation and question answering.