Data Science With Python Course Hands-On Data Science
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15:40:18
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1 - Download and Install Anaconda Windows.mp4
05:40
1 - anaconda linux installation.zip
1 - anaconda mac os installation.zip
1 - anaconda windows installation.zip
2 - Download and Install Anaconda Ubuntu Linux.mp4
07:08
3 - Overview Of Jupyter Notebook.mp4
08:47
3 - jupyter notebook documentation.zip
4 - Notes About Course.mp4
03:24
5 - Course FAQ.html
6 - Join Online Classroom.html
7 - Introduction Python.mp4
01:40
7 - Python-Crash-Course.zip
8 - Python Number String Variable.mp4
11:41
9 - Python List tuples Dictionary Set.mp4
12:46
10 - Python Ifelse Looping.mp4
10:47
11 - Python Function Lambda Map.mp4
13:03
12 - Python Exercise.html
13 - Introduction Numpy Numerica Python.mp4
03:15
13 - Numpy.zip
14 - Numpy array.mp4
14:06
15 - Numpy array operations.mp4
06:14
16 - Indexing Slicing Numpy array.mp4
10:09
16 - visualize numpy.zip
17 - Numpy Exercise.html
18 - Introduction Pandas.mp4
02:32
18 - Pandas.zip
19 - Pandas Introduction to Series.mp4
07:01
20 - Pandas Introduction to Dataframe.mp4
11:29
21 - Dataframe Index Multiindex.mp4
08:38
22 - Handling Missing Data dropna fillna.mp4
07:52
23 - Grouping data.mp4
10:37
24 - Read Write csv html excel file.mp4
05:20
25 - Visualization of data with pandas.mp4
07:27
26 - Introduction.mp4
02:53
26 - MatPlotLib.zip
27 - Why Visualization.html
28 - MatplotLib Basic plotting Plotting terminology.mp4
09:40
29 - MatplotLib Subplots.mp4
04:12
30 - Matplotlib Special plot.mp4
03:32
31 - Plotly introduction.mp4
03:01
31 - plotly.zip
32 - Basic plotting plotly.mp4
08:00
33 - Exercise Extend Basic Plot.html
34 - Plotly scatter and line chart.mp4
10:27
35 - Plotly Bar chart.mp4
04:09
36 - Exercise Extend Bar Chart.html
37 - Plotly Bubble chart.mp4
03:28
38 - Plotly Histogram and Distribution plot.mp4
11:48
39 - Introduction to Tableau and Installation.mp4
07:06
40 - Insight 1.mp4
12:30
40 - countries-of-the-world.csv
41 - Insight 2.mp4
09:10
42 - Load Data in Tableau.mp4
04:50
42 - countries-of-the-world.csv
43 - Save Tableau Worksheet.mp4
03:08
44 - Introduction to Data Continuous and Discrete Data.mp4
08:56
45 - Nominal and Ordinal Data.mp4
08:34
46 - Importing-Data.zip
46 - Introduction.mp4
01:47
47 - Reading Plain text file.mp4
04:39
47 - news.zip
48 - Reading csv file.mp4
07:24
48 - mnist.csv
48 - titanic.csv
49 - ExcelTest.xlsx
49 - MatlabTest.zip
49 - Reading Excel and m Matlab file.mp4
04:05
50 - Read Sqlite Database.mp4
03:52
50 - SqliteTestDb.zip
51 - Fetch Data from Remote file.mp4
06:50
52 - Fetch Data from Facebook API.mp4
09:09
53 - Data-Preprocesing.zip
53 - Introduction.mp4
02:06
54 - Data.csv
54 - Reading Data.mp4
05:17
55 - Handling Missing Data.mp4
08:44
56 - Categorical Data.mp4
10:59
57 - Splitting Data in Training and Testing Set.mp4
03:49
58 - Normalize Data.mp4
07:38
59 - Introduction Web Scraping.mp4
02:03
59 - Web-Scraping.zip
60 - What is Web Scraping.mp4
06:59
61 - Web Scraping Process.mp4
06:15
62 - Search Element by TagName and TagByClass.mp4
08:50
63 - How to use developer tools in browser.mp4
09:53
64 - Practical Activity.html
65 - EDA of pima indian diabetes dataset.mp4
11:44
66 - Visualize pima indian diabetes dataset.mp4
09:34
67 - Introduction.mp4
03:09
68 - Rescale data Standardize data.mp4
07:40
69 - Normalize Data Binarize Data.mp4
06:02
70 - Practical Activity.html
71 - What is Machine Learning In Layman term.mp4
03:24
71 - towards-ML.zip
72 - Traditional system of computing vs Machine Learning.mp4
04:31
73 - Formal Definition of Machine Learning.mp4
06:59
74 - How Machine Learning system works.mp4
04:41
75 - Different Types of Machine Learning system Supervised vs Unsupervised learning.mp4
05:01
76 - Parametric vs Nonparametric machine learning system.mp4
06:37
77 - Machine Learning system design and Scikit learn.mp4
07:43
78 - Machine Learning application.mp4
06:00
79 - Ask yourself to learn any machine learning algorithm.mp4
04:58
80 - Introduction to feature selection.mp4
04:14
81 - Univariate feature selection.mp4
06:47
82 - Recursive feature elimination.mp4
05:28
83 - Principal component analysis.mp4
06:33
84 - Remove feature with low variance.mp4
05:10
85 - Tree based method for feature selection.mp4
05:20
86 - Section introduction.mp4
02:19
87 - KNN algorithm Intitution.mp4
07:36
88 - Choose K and distance metric.mp4
05:37
89 - About KNN algorithm.mp4
02:45
90 - Implement KNN from scratch.html
90 - KNN.zip
91 - Introduction.mp4
06:43
92 - Python Implementation Step 1.mp4
11:57
93 - Python Implementation Step 2.mp4
13:07
94 - Python Implementation Step 3.mp4
07:10
95 - Introduction.mp4
06:42
96 - Python Implementation Step 1.mp4
11:26
97 - Python Implementation Step 2.mp4
08:41
98 - Introduction.html
99 - What is Apache Spark.mp4
07:03
100 - Introduction to Installation.mp4
01:34
101 - Installation Part 1 and 2.mp4
10:36
102 - Installation Part 3 and 4.mp4
09:43
103 - Installation Instruction Windows.html
104 - Spark Session.mp4
02:38
105 - Import JSON data into Dataframe.mp4
04:52
105 - student.zip
106 - What next.html
107 - Create Python virtual environment 1.mp4
03:54
108 - Create Python virtual environment 2.mp4
16:10
109 - Conda Command I.mp4
08:25
110 - Conda Command II.mp4
06:06
111 - Python Numbers & Math operators.mp4
08:31
112 - Python Variables and Datatypes.mp4
16:12
113 - Python Dynamic Typing in Python.mp4
02:44
114 - Python String.mp4
10:48
115 - Python Boolean variable and conditional logic.mp4
07:28
116 - Python Looping in Python.mp4
12:22
117 - Data Science in Cloud 1.mp4
06:54
118 - Data Science in Cloud 2 Microsoft Azure.mp4
21:16
119 - Install tensorflow Keras and NLTK on Azure VM.mp4
04:27
120 - Data Science as Interdisciplinary field.mp4
05:46
121 - Statistics & Probability.mp4
08:08
122 - Mathematics.mp4
06:45
123 - Visualization.mp4
06:21
124 - Database and Computer Science.mp4
08:25
125 - Big data Technology.mp4
06:33
126 - Machine Learning.mp4
07:58
127 - Deep Learning.mp4
07:55
128 - Natural language Processing.mp4
09:16
129 - Welcome to Mathematics Prerequisite.html
130 - Permutations.mp4
10:27
130 - Permutation-and-Combination.pptx
130 - Probability.pptx
131 - Permutations Exercise.mp4
04:06
132 - Combinations.mp4
04:17
133 - Introduction to Probability.mp4
05:42
134 - Union Intersection of complement of event.mp4
11:00
135 - Independent and dependent event.mp4
06:18
136 - Probability interview question 1.html
137 - Probability interview answer 1.mp4
03:16
138 - Probability interview question 2.html
139 - Probability interview answer 2.mp4
06:36
140 - Probability interview question 3.html
141 - Probability interview answer 3.mp4
02:38
142 - Probability interview question 4.html
143 - Probability interview answer 4.mp4
05:11
144 - Probability interview question 5.html
145 - Probability interview answer 5.mp4
08:05
146 - Measure of central tendency.mp4
06:03
147 - Mean vs Median.mp4
02:18
148 - Measure of Dispersion.mp4
06:24
149 - Quartiles and Interquartile range.mp4
08:32
150 - Correlation vs Causality.mp4
05:21
151 - Covariance and Pearson correlation.mp4
05:31
152 - Measure Statistical Parameter with Microsoft Excel.mp4
08:46
152 - Measure-Statistics-with-Excel.xlsx
153 - Discount for other courses.html
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- language english
- Training sessions 133
- duration 15:40:18
- English subtitles has
- Release Date 2023/04/03
