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Build 8 Practical Projects and Go from Zero to Hero in Deep/Machine Learning, Artificial Neural Networks What you’ll learn Deep Learning Practical Applications Machine Learning Practical Applications How to use ARTIFICIAL NEURAL NETWORKS to predict car sales How to use DEEP NEURAL NETWORKS for image classification How to use LE-NET DEEP NETWORK to classify Traffic … Read more
Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn What you’ll learn Apply advanced machine learning models to perform sentiment analysis and classify customer reviews such as Amazon Alexa products reviews Understand the theory and intuition behind several machine learning algorithms such as K-Nearest Neighbors, Support Vector Machines … Read more
Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta) What you’ll learn Step into the Financial Analyst role and give advice on a client´s financial Portfolio (Final Project) Import large Financial Datasets / historical Prices from Web Sources and analyze, aggregate and visualize them Calculate Return, … Read more
Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing What you’ll learn Learn to work with Text Files with Python Learn how to work with PDF files in Python Utilize Regular Expressions for pattern searching in text Use Spacy for ultra fast tokenization Learn about Stemming and … Read more
Learn how to use the R programming language for data science and machine learning and data visualization! What you’ll learn Program in R Use R for Data Analysis Create Data Visualizations Use R to handle csv,excel,SQL files or web scraping Use R to manipulate data easily Use R for Machine Learning Algorithms Use R for … Read more