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Total Training - Machine Learning - Python Programming From Beginner to Intermediate
- Date: 2024-02-08
- Size: 3.1 GB
- Files: 56
File Name
Size
01 - Introduction.mp4
58 MB
02 - Coding is Like Cooking.mp4
127 MB
03 - Anaconda & Pip.mp4
38 MB
04 - Variables are Like Containers.mp4
60 MB
05 - A List is a List.mp4
46 MB
06 - Fun with Lists!.mp4
29 MB
07 - Dictionaries & If-Else.mp4
39 MB
08 - Don't Jump through Hoops - Use Loops.mp4
20 MB
09 - Doing Stuff with Loops.mp4
36 MB
10 - Everything in Life is a List - Strings as Lists.mp4
23 MB
11 - Modules are Cool for Code-Reuse.mp4
10 MB
12 - Our First Serious Program - Downloading a Webpage.mp4
64 MB
13 - A Few Details - Conditionals.mp4
42 MB
14 - A Few Details - Exception Handling in Python.mp4
43 MB
15 - A File is Like a Barrel.mp4
68 MB
16 - Auto-Generating Spreadsheets with Python.mp4
47 MB
17 - Auto-Generating Spreadsheets - Download & Unzip.mp4
72 MB
18 - Auto-Generating Spreadsheets - Parcing CSV Files.mp4
59 MB
19 - Auto-Generating Spreadsheets with XLSXwriter.mp4
15 MB
20 - Functions are Like Food Processors.mp4
52 MB
21 - Argument Passing in Functions.mp4
76 MB
22 - Writing Your First Function.mp4
44 MB
23 - Recursion.mp4
86 MB
24 - Recursion in Action.mp4
22 MB
25 - How Would You Implement a Bank ATM.mp4
94 MB
26 - Things You Can Do with Databases - I.mp4
94 MB
27 - Things You Can Do with Databases - II.mp4
41 MB
28 - Interfacing with Databases from Python.mp4
43 MB
29 - SQLite Works Right out of the Box.mp4
27 MB
30 - Manually Downloading the ZIP Files Required.mp4
12 MB
31 - Build a Database of Stock Movements - I.mp4
101 MB
32 - Build a Database of Stock Movements - II.mp4
67 MB
33 - Build a Database of Stock Movements - III.mp4
63 MB
34 - Objects are Like Puppies!.mp4
46 MB
35 - A Class is a Type of Variable.mp4
94 MB
36 - An Interface Drives Behavior.mp4
70 MB
37 - Natural Language Processing with NLTK.mp4
34 MB
38 - Natural Language Processing with NLTK - See It in Action.mp4
52 MB
39 - Web Scraping with BeautifulSoup.mp4
67 MB
40 - A Serious NLP Application - Text Auto-Summarization Using Python.mp4
59 MB
41 - Auto-Summarize News Articles - I.mp4
56 MB
42 - Auto-Summarize News Articles - II.mp4
54 MB
43 - Auto-Summarize News Articles - III.mp4
126 MB
44 - Machine Learning - Jump on the Bandwagon.mp4
78 MB
45 - Plunging In - Machine Learning Approaches to Spam Detection.mp4
75 MB
46 - Spam Detection with Machine Learning - Continued.mp4
90 MB
47 - News Article Classification Using K-Nearest Neighbors.mp4
98 MB
48 - News Article Classification Using Naive Bayes.mp4
95 MB
49 - Code Along - Scraping News Websites.mp4
54 MB
50 - Code Along - Feature Extraction from News Articles.mp4
58 MB
51 - Code Along - Classification with K-Nearest Neighbors.mp4
15 MB
52 - Code Along - Classification with Naïve Bayes.mp4
29 MB
53 - Document Distance Using TF-IDF.mp4
52 MB
54 - News Article Clustering with K-Means & TF-IDF.mp4
67 MB
55 - Code Along - Clustering with K-Means.mp4
38 MB
Python Programming.zip
120 kB