How to Think About Machine Learning Algorithms Swetha Kolalapudi 2016 Solving Regression Problems Implementing Linear Regression in Python vtt

How to Think About Machine Learning Algorithms Swetha Kolalapudi 2016
Solving Regression Problems Implementing Linear Regression in Python vtt

Name	How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	392.5 MB
Total Files	78
Hash	0A24CB29DEB600BBD08FD0B3C23B1DD82B0E9222

/6. Solving Regression Problems/5. Implementing Linear Regression in Python.vtt	4.4 KB
/6. Solving Regression Problems/5. Implementing Linear Regression in Python.mp4	8.5 MB
/6. Solving Regression Problems/1. Introducing Linear Regression.vtt	4.7 KB
/6. Solving Regression Problems/2. Applying Linear Regression to Quant Trading.vtt	5.5 KB
/6. Solving Regression Problems/1. Introducing Linear Regression.mp4	6.3 MB
/6. Solving Regression Problems/2. Applying Linear Regression to Quant Trading.mp4	8.1 MB
/6. Solving Regression Problems/4. Finding the Beta for Google.vtt	5.5 KB
/6. Solving Regression Problems/4. Finding the Beta for Google.mp4	9.5 MB
/4. Solving Classification Problems/5. Implementing Support Vector Machines.vtt	11.9 KB
/4. Solving Classification Problems/3. Implementing Naive Bayes.vtt	10.4 KB
/4. Solving Classification Problems/5. Implementing Support Vector Machines.mp4	24.9 MB
/4. Solving Classification Problems/3. Implementing Naive Bayes.mp4	22.1 MB
/6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.vtt	6.0 KB
/6. Solving Regression Problems/3. Minimizing Error Using Stochastic Gradient Descent.mp4	13.6 MB
/4. Solving Classification Problems/2. Understanding When to use Naive Bayes.vtt	2.6 KB
Showing first 15 files of 78 total files