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Machine Learning Internship

July 18 @ 9:00 am - August 12 @ 10:30 am

| $899

Topic 01:
Python (Internals, do’s and don’ts) Architecture, Data Structure
Sub-Topic Installation of Anaconda Prompt Jupyter Notebook-An Overview Shorcut Lkeys in Jupyter Notebook Data Types in Python Rules for Naming the Variables List Tuple Set Dictionary

Topic 02:
Data Analysis , Manipulation with numpy and pandas Python data science package to manipulate, calculate and analyze data
Sub-Topic Machine Learning Libraries Numpy-Hands on Pandas-Hands on

Topic 03:
Exploratory Data Visualization in Python with matplotlib Learn how to explore, visualize, and extract insights from data
Sub-Topic Data Visualization Matplotlib-Hands on Seaborn-Hands on

Topic 04:
Statistical Thinking in Python (Part 1) Build the foundation you need to think statistically and to speak the language of your data
Sub-Topic Measures of Central Tendency Measures of Dispersion IQR Statistics-Hands-On

Topic 05:
Supervised Learning and UnSupervised Learning Classification, Regression, Fine-tuning your model
Sub-Topic Supervised Learning Unsupervised Learning Linear Regression Metrics in Linear Regression Hands-on in Linear Regression

Topic 06:
Logistic regression
Sub-Topic Logistic Regression Metrics in Logistic Regression Hands-on in Logistic Regression

Topic 07:
SVM, Linear Regression
Sub-Topic Support Vector Machine Hands on in SVM

Topic 08:
Preprocessing for Machine Learning in Python Introduction to Data Preprocessing, Standardizing Data
Sub-Topic Exploratory Data Analysis Missing Values Outliers Standardization Mnormalization Feature Scaling and Selection

Topic 09:
Tree Based Models Classification and Regression Trees
Sub-Topic Decision Tree Bagging Boosting Random Forest

Details

Start:
July 18 @ 9:00 am
End:
August 12 @ 10:30 am
Cost:
$899
Website:
https://www.younggates.com

Organizer

Young Gates
Phone:
6502294307
Email:
info@younggates.com
Website:
www.younggates.com

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