Python Machine Learning in Days Video | EC2880EF642ABB5551266C6B6C4675BF8814CFFD

Python Machine Learning in Days Video

Name	Python Machine Learning in 7 Days [Video]	DOWNLOAD Copy Link
Total Size	338.5 MB
Total Files	43
Hash	EC2880EF642ABB5551266C6B6C4675BF8814CFFD

/5.Finding Patterns and Structures in Unlabeled Data/
25.Review of Getting Better Test Sample Results by Measuring Model Performance.mp4	23.5 MB
26.Unsupervised Learning.mp4	3.7 MB
27.Clustering.mp4	4.8 MB
28.K-means Clustering.mp4	4.1 MB
29.Determining the Number of Clusters.mp4	2.6 MB
30.Assignment – Write Your Own Clustering Implementation for Customer Segmentation.mp4	3.7 MB
/1.Enter the Machine Learning World!/
02.Setting Up Your Machine Learning Environment.mp4	21.6 MB
03.Exploring Types of Machine Learning.mp4	6.5 MB
04.Using Scikit-learn for Machine Learning.mp4	14.8 MB
05.Assignment – Train Your First Pre-built Machine Learning Model.mp4	2.4 MB
01.The Course Overview.mp4	3.8 MB
/2.Build Your First Predicting Model/
06.Supervised Learning Algorithm.mp4	4.1 MB
07.Architecture of a Machine Learning System.mp4	6.2 MB
08.Machine Learning Model and Its Components.mp4	7.1 MB
09.Linear Regression.mp4	3.5 MB
10.Predicting Weight Using Linear Regression.mp4	17.3 MB
11.Assignment – Predicting Energy Output of a Power Plant.mp4	3.4 MB
/3.Image Classification Using Supervised Learning/
12.Review of Predicting Energy Output of a Power Plant.mp4	20.7 MB
13.Logistic Regression.mp4	9.5 MB
14.Classifying Images Using Logistic Regression.mp4	12.9 MB
15.Support Vector Machines.mp4	3.3 MB
16.Kernels in a SVM.mp4	2.2 MB
17.Classifying Images Using Support Vector Machines.mp4	11.1 MB
18.Assignment – Start Image Classifying Using Support Vector Machines.mp4	6.1 MB
/4.Improving Model Accuracy/
19.Review of Classifying Images Using Support Vector Machines.mp4	17.2 MB
20.Model Evaluation.mp4	5.3 MB
21.Better Measures than Accuracy.mp4	8.9 MB
22.Understanding the Results.mp4	4.8 MB
23.Improving the Models.mp4	5.2 MB
24.Assignment – Getting Better Test Sample Results by Measuring Model Performance.mp4	3.3 MB
/6.Sentiment Analysis Using Neural Networks/
31.Review of Clustering Customers Together.mp4	21.8 MB
32.Why Neural Network.mp4	5.3 MB
33.Parts of a Neural Network.mp4	6.5 MB
34.Working of a Neural Network.mp4	4.7 MB
35.Improving the Network.mp4	3.3 MB
36.Assignment – Build a Sentiment Analyzer Based on Social Network Using ANN.mp4	5.7 MB
/7.Mastering Kaggle Titanic Competition Using Random Forest/
37.Review of Building a Sentiment Analyser ANN.mp4	21.3 MB
38.Decision Trees.mp4	5.3 MB
39.Working of a Decision Tree.mp4	5.6 MB
40.Techniques to Further Improve a Model.mp4	3.2 MB
41.Random Forest as an Improved Machine Learning Approach.mp4	3.2 MB
42.Weekend Task – Solving Titanic Problem Using Random Forest.mp4	3.5 MB
/Exercise Files/
code_33695.zip	5.4 MB
Total files 43