Size: 30.85 GB
Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more
What you’ll learn
 Learn the use of Python for Data Science and Machine Learning

Master Machine Learning on Python & R

Master Machine Learning on Tensorflow
 Learn Statistics, Python, Artificial Intelligence AI, Tensorflow, AWS.
 Learn Deep Learning, R Programming, NLP, Bayesian Methods, A/B Testing, Business Intelligence BI, Regression.
 Learn Hypothesis Testing, Algebra, Adaboost Regressor, Gaussian, Heuristic.
 Learn Numpy, Pandas, Metplotlit, Seaborn.
 Learn Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection.
 Learn Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm.
 Learn Decision Tree, Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis
Requirements
 No prior knowledge of machine learning required
 Basic knowledge of R tool is an added advantage
 Basic Python and Mathematics (Linear Algebra Basics) is an added advantage
 Computer Access
Description
Learn from well designed, wellcrafted study materials on Machine Learning ML, Statistics, Python, Artificial Intelligence AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian Methods, A/B Testing, Face Detection, Business Intelligence BI, Regression, Hypothesis Testing, Algebra, Adaboost Regressor, Gaussian, Heuristic, Numpy, Pandas, Metplotlit, Seaborn, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree, Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis. Learn by doing. Full Lifetime Access. Get the skills to work with implementations and develop capabilities that you can use to deliver results in a machine learning project. This program will help you build the foundation for a solid career in Machine learning Tools. Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions.Who is the target audience?
 Anyone who wants to learn about Machine Learning.
 Data Engineers, Software Engineers, Technical managers, Analysts, Architects, IT operations etc.
 Data scientists, Researchers and Students
 This course can be taken by anyone. It starts from scratch and has taken care of all concepts required.
 Any students in college who want to start a career in Data Science.
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