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Mammoth Club All levels 10 sections 56 lectures

Predictive Insights: Python's Role in Stock Market Analysis

01
Skill level
All levels
02
Sections
10
03
Lectures
56
04
Instructor
Team Mammoth
What's inside

This course includes.

10
Sections
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

10 sections · 56 lectures
+ Introduction to Regression 2 lectures
00 Regression Applications In Finance Locked
Source Files Locked
+ Predict Stocks with a Linear Regression Model 6 lectures
00 Project Preview Locked
01 What Is Linear Regression Locked
02 Preprocess Data For Machine Learning Locked
03 Make A Prediction With Linear Regression Locked
04 Visualize Model Results Locked
Source Files Locked
+ Predict Stocks with a Polynomial Regression Model 6 lectures
00 Project Preview Locked
02 Make A Prediction With A 1D Polynomial Locked
01 Preprocess Data For Polynomial Regression Locked
03 Make A Prediction With Higher Dimensionality Polynomial Regression Locked
04 Find Best Polynomial Model Locked
Source Files Locked
+ Build a Logistic Regression Model 7 lectures
00 Project Preview Locked
01 What Is Logistic Regression Locked
02 Preprocess Data For Logistic Regression Locked
03 Make A Prediction With Logistic Regression Locked
05 Analyze Model Metrics Locked
04 Evaluate Model Results Locked
Source Files Locked
+ Build an Isotonic Regression Model 6 lectures
01 What Is Isotonic Regression Locked
00 Project Preview Locked
02 Load Data For Isotonic Regression Locked
03 Build An Isotonic Regression Model Locked
04 Train And Evaluate The Model Locked
Source Files Locked
+ Introduction to Trees 2 lectures
00 Tree Applications In Finance Locked
Source Files Locked
+ Build a Decision Tree Model 5 lectures
01 Make Decisions With Decision Trees Locked
00 Project Preview Locked
02 Preprocess Data For Decision Tree Classification Locked
03 Build A Decision Tree Locked
Source Files Locked
+ Build a Random Forest Model 7 lectures
00 Project Preview Locked
01 What Is The Random Forest Classifier Model Locked
02 Preprocess Data For Random Forest Classification Locked
04 Visualize Feature Importance Locked
05 Train Model On Most Important Features Locked
03 Train A Random Forest Classifier Locked
Source Files Locked
+ Build a K Nearest Neighbors Model 7 lectures
00 Project Preview Locked
01B How K-Nn Works Locked
01A What Is K Nearest Neighbours Locked
03 Train A K Nearest Neighbors Classifier Locked
02 Preprocess Data For K Nearest Neighbors Locked
04 Visualize Accuracy Of Different Models Locked
Source Files Locked
+ Build a Clustering Classification Model 8 lectures
00 Project Preview Locked
01A What Is Unsupervised Learning Locked
01B What Is K Means Clustering Locked
03 Preprocess Data For Clustering Locked
04 Build K Means Clustering Models Locked
02 Load Data Locked
05 Visualize Clusters Locked
Source Files Locked
Instructors

Taught by people who ship.

Team Mammoth

Team Mammoth

Instructor

Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.

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