Machine Learning Internship | Kids Out and About Austin

Machine Learning Internship

*The event has already taken place on this date: Fri, 07/15/2022
Kids started with basics of Machine Learning

Please help us keep this calendar up to date! If this activity is sold out, canceled, or otherwise needs alteration, email so we can update it immediately.

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


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Contact name: 
Young Gates
Email address: 
The event has already taken place on this date: 
Various times available- please check website