Beginning with Machine Learning, Data Science and Python
Fundamentals of Data Science : Exploratory Data Analysis (EDA), Regression (Linear & logistic), Visualization, Basic ML
4.03 (163 reviews)
7,937
students
3.5 hours
content
Jul 2021
last update
$19.99
regular price
What you will learn
You will be able to apply data science algorithms for solving industry problems
You will have a clear understanding of industry standards and best practices for predictive model building
You will be able to derive key insights from data using exploratory data analysis techniques
You will be able to efficiently handle data in a structured way using Pandas
You will have a strong foundation of linear regression, multiple regression and logistic regression
You will be able to use python scikit-learn for building different types of regression models
You will be able to use cross validation techniques for comparing models, select parameters
You will know about common pitfalls in modeling like over-fitting, bias-variance trade off etc..
You will be able to regularize models for reliable predictions
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udemy ID
12/27/2017
course created date
5/20/2019
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