Machine Learning for Interviews & Research and DL basics

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Price: 39.99$

Interested in Machine Learning, and Deep Learning and preparing for your interviews or research? Then, this course is for you! The course is designed to provide the fundamentals of machine learning and deep learning. It is targeted toward newbies, scholars, students preparing for interviews, or anyone seeking to hone the data science skills necessary. In this course, we will cover the basics of machine learning, and deep learning and cover a few case studies. This short course provides a broad introduction to machine learning, and deep learning. We will present a suite of tools for exploratory data analysis and machine learning modeling. We will get started with python and machine learning and provide case studies using keras and sklearn.### MACHINE LEARNING ###1.) Advanced Statistics and Machine Learning Covariance Eigen Value Decomposition Principal Component Analysis Central Limit Theorem Gaussian Distribution Types of Machine Learning Parametric Models Non-parametric Models2.) Training Machine Learning Models Supervised Machine Learning Regression Classification Linear Regression Gradient Descent Normal Equations Locally Weighted Linear Regression Ridge Regression Lasso Regression Other classifier models in sklearn Logistic Regression Mapping non-linear functions using linear techniques Overfitting and Regularization Support Vector Machines Decision Trees3.) Artificial Neural Networks Forward Propagation Backward Propagation Activation functions Hyperparameters Overfitting Dropout4.) Training Deep Neural Networks Deep Neural Networks Convolutional Neural Networks Recurrent Neural Networks (GRU and LSTM)5.) Unsupervised Learning Clustering (k-Means)6.) Implementation and Case Studies Getting started with Python and Machine Learning Case Study – Keras Digit Classifier Case Study – Load Forecasting So what are you waiting for? Learn Machine Learning, and Deep Learning in a way that will enhance your knowledge and improve your career! Thanks for joining the course. I am looking forward to seeing you. let’s get started!