Machine Learning: Logistic Regression, LDA & K-NN in Python | Programming Buddy Club | Free Udemy Courses

LOGISTIC REGRESSION IN PYTHON. MACHINE LEARNING MODELS SUCH AS LOGISTIC REGRESSION, DISCRIMINANT ANALYSIS &KNN IN PYTHON

Discount - $  FREE 100% Off

• Lectures - 79 lectures
• Skill Level -Beginner Level
• Language -  English
• Published -  Last updated 1/2020
• Coupon -JANFREE2020
• Rating -
• Students Enrolled -

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Course Includes

• ☑️ 7.5 hours on-demand video

• ☑️ 18 articles

• ☑️ 35 downloadable resources

• ☑️ Full lifetime access

• ☑️ Access on mobile and TV

• ☑️ Certificate of Completion

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What Will I learn?

• ☑️ Understand how to interpret the result of Logistic Regression model in Python and translate them into actionable insight

• ☑️ Learn the linear discriminant analysis and K-Nearest Neighbors technique in Python

• ☑️ Preliminary analysis of data using Univariate analysis before running classification model

• ☑️ Predict future outcomes basis past data by implementing Machine Learning algorithm

• ☑️ Indepth knowledge of data collection and data preprocessing for Machine Learning logistic regression problem

• ☑️ Learn how to solve real life problem using the different classification techniques

• ☑️ Course contains a end-to-end DIY project to implement your learnings from the lectures

• ☑️ Basic statistics using Numpy library in Python

• ☑️ Data representation using Seaborn library in Python

• ☑️ Classification techniques of Machine Learning using Scikit Learn and Statsmodel libraries of Python

Requirements

• ☑️ Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

Who is the target audience?

• ☑️ People pursuing a career in data science

• ☑️ Working Professionals beginning their Data journey

• ☑️ Statisticians needing more practical experience

• ☑️ Anyone curious to master classification machine learning techniques from Beginner to Advanced in short span of time

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