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Predictive Insights: Python's Role in Stock Market Analysis
Introduction to Regression
Source Files
00 Regression Applications In Finance (6:44)
Predict Stocks with a Linear Regression Model
Source Files
00 Project Preview (1:46)
01 What Is Linear Regression (5:03)
02 Preprocess Data For Machine Learning (11:49)
03 Make A Prediction With Linear Regression (3:59)
04 Visualize Model Results (8:04)
Predict Stocks with a Polynomial Regression Model
Source Files
01 Project Preview (1:21)
02 Preprocess Data For Polynomial Regression (12:08)
03 Make A Prediction With A 1D Polynomial (3:38)
04 Make A Prediction With Higher Dimensionailty Polynomial Regression (7:31)
05 Find Best Polynomial Model (8:25)
Build a Logistic Regression Model
Source Files
00 Project Preview (1:48)
00 What Is Logistic Regression (4:32)
02 Preprocess Data For Logistic Regression (11:11)
03 Make A Prediction With Logistic Regression (4:28)
04 Evaluate Model Results (15:48)
05 Analyze Model Metrics (6:33)
Build an Isotonic Regression Model
Source Files
00 Project Preview (1:43)
00 What Is Isotonic Regression (2:27)
01 Load Data For Isotonic Regression (7:26)
02 Build An Isotonic Regression Model (6:33)
03 Train And Evaluate The Model (7:51)
Introduction to Trees
Source Files
00 Tree Applications In Finance (7:02)
Build a Decision Tree Model
Source Files
00 Project Preview (2:34)
01 Make Decisions With Decision Trees (10:51)
02 Preprocess Data For Decision Tree Classification (11:08)
03 Build A Decision Tree (11:29)
Build a Random Forest Model
Source Files
00 Project Preview (1:45)
01 What Is The Random Forest Classifier Model (5:42)
02 Preprocess Data For Random Forest Classification (9:20)
03 Train A Random Forest Classifier (13:08)
04 Visualize Feature Importance (3:59)
05 Train Model On Most Important Features (6:20)
Build a K Nearest Neighbors Model
Source Files
00 Project Preview (1:14)
01A What Is K Nearest Neighbours (8:07)
01B How K-Nn Works (4:02)
02 Preprocess Data For K Nearest Neighbors (8:10)
03 Train A K Nearest Neighbors Classifier (5:21)
04 Visualize Accuracy Of Different Models (9:44)
Build a Clustering Classification Model
Source Files
00 Project Preview (2:00)
01 What Is Unsupervised Learning (8:17)
02 What Is K Means Clustering (11:58)
03 Load Data (8:22)
04 Preprocess Data For Clustering (7:42)
05 Build K Means Clustering Models (6:27)
06 Visualize Clusters (10:30)
04 Visualize Model Results
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