Python programming for Machine Learning , Data Analytics

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Price: 19.99$

At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning. The course will have step by step guidance for machine learning & Data Science with Python. You can enhance your core programming skills to reach the advanced level. You will learn about Software Design as well. eg: Flow charts, pseudacodes, algorithms. By the end of these videos, you will get the understanding of following areas the Setting up the Environment for Python Machine Learning Understanding Data With Statistics & Data Pre-processing  (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)Data Pre-processing – Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python, feature Selection Techniques: Univariate Selection Data Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart, Histogram , Pie Chart, etc.. Artificial Neural Networks with Python, KERASKERAS Tutorial – Developing an Artificial Neural Network in Python -Step by Step Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]Naive Bayes Classifier with Python [Lecture & Demo]Linear regression Logistic regression Introduction to clustering [K – Means Clustering ]K – Means Clustering Python Programming Setting up the environment Python For Absolute Beginners: Setting up the Environment: Anaconda Python For Absolute Beginners: Variables , Lists, Tuples , Dictionary Boolean operations Conditions , Loops(Sequence , Selection, Repetition/Iteration)Functions File Handling in Python Flow Charts Algorithms Modular Design Introduction to Software Design – Problem Solving Software Design – Flowcharts – Sequence Software Design – Modular Design Software Design – Repetition Flowcharts Questions and Answers # Problem Solving