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Udemy - Complete Python & Data Science Course for Absolute Beginners
magnet:?xt=urn:btih:a406d2d68fe3b3ae081b10ce35ccfa06b92dac5b&dn=Udemy - Complete Python & Data Science Course for Absolute Beginners
磁力链接详情
Hash值:
a406d2d68fe3b3ae081b10ce35ccfa06b92dac5b
点击数:
171
文件大小:
10.72 GB
文件数量:
166
创建日期:
2022-9-15 05:10
最后访问:
2024-5-16 22:39
访问标签:
Udemy
-
Complete
Python
&
Data
Science
Course
for
Absolute
Beginners
文件列表详情
001 Introduction.mp4 36.23 MB
002 Intro To Python.mp4 40.4 MB
003 Variables.mp4 108.02 MB
004 Type Conversion Examples.mp4 63.79 MB
005 Operators.mp4 46.46 MB
006 Operators Examples.mp4 126.57 MB
007 Collections.mp4 51.61 MB
008 Lists.mp4 73.31 MB
009 Multidimensional List Examples.mp4 47.68 MB
010 Tuples Examples.mp4 56.36 MB
011 Dictionaries Examples.mp4 90.91 MB
012 Ranges Examples.mp4 57.6 MB
013 Conditionals.mp4 46.77 MB
014 If Statement Examples.mp4 56.84 MB
015 If Statement Variants Examples.mp4 73.77 MB
016 Loops.mp4 49.95 MB
017 While Loops Examples.mp4 65.87 MB
018 For Loops Examples.mp4 72.16 MB
019 Functions.mp4 54.59 MB
020 Functions Examples.mp4 51.34 MB
021 Parameters And Return Values Examples.mp4 82.3 MB
022 Classes and Objects.mp4 78.5 MB
023 Classes Example.mp4 78.8 MB
024 Objects Examples.mp4 86.43 MB
025 Inheritance Examples.mp4 133.38 MB
026 Static Members Example.mp4 83.23 MB
027 Summary and Outro.mp4 29.29 MB
029 00. Course Intro.mp4 35.01 MB
030 01. Intro To Pyplot.mp4 35.12 MB
031 02. Installing Matplotlib.mp4 35.71 MB
032 03. Basic Line Plot.mp4 58.3 MB
033 04. Customizing Graphs.mp4 85.06 MB
034 05. Plotting Multiple Datasets.mp4 70.29 MB
035 06. Bar Chart.mp4 46.01 MB
036 07. Pie Chart.mp4 61.22 MB
037 08. Histogram.mp4 65.01 MB
038 09. 3D Plotting.mp4 51.39 MB
039 10. Course Outro.mp4 26.5 MB
041 00. Panda Course Introduction.mp4 39.47 MB
042 01. Intro To Pandas.mp4 50.33 MB
043 02. Installing Pandas.mp4 35.62 MB
044 03. Creating Pandas Series.mp4 123.1 MB
045 04. Date Ranges.mp4 63.5 MB
046 05. Getting Elements From Series.mp4 102.44 MB
047 06. Getting Properties Of Series.mp4 70.72 MB
048 07. Modifying Series.mp4 103.27 MB
049 08. Operations On Series.mp4 65.1 MB
050 09. Creating Pandas Dataframes.mp4 140.11 MB
051 10. Getting Elements From Dataframes.mp4 140.82 MB
052 11. Getting Properties From Dataframes.mp4 111.67 MB
053 12. Dataframe Modification.mp4 240.74 MB
054 13. Dataframe Operations.mp4 119.06 MB
055 14 Dataframe Comparisons And Iteration.mp4 92.99 MB
056 15. Reading CSVs.mp4 79.86 MB
057 16.summary And Outro.mp4 32.62 MB
059 Introduction to Data Mining.mp4 78.62 MB
061 Data Wrangling Demystified.mp4 576.29 MB
063 01. Cluster Analysis.mp4 232.15 MB
064 02. Classification and Regression.mp4 301.49 MB
065 03. Association and Correlation.mp4 124.1 MB
066 04. Dimensionality Reduction.mp4 271.85 MB
068 01. Apache Spark - An Overview Of The Framework.mp4 227.92 MB
069 02. Spark Key Functions.mp4 193.57 MB
070 03. Spark Machine Learning.mp4 91.07 MB
071 04. EXAMPLES - Using The Machine Learning Pipeline.mp4 72.51 MB
073 01. Text Mining.mp4 160.72 MB
074 02. Network Mining.mp4 106.57 MB
075 03. Matrix.mp4 67.34 MB
076 04. SQL.mp4 127.47 MB
078 01 NLP Data Cleaning.mp4 76.73 MB
079 02. Count Vectorizer.mp4 77.95 MB
080 03. NLP Example with Spam.mp4 98.46 MB
081 04. Tweak Model with Spam Data.mp4 61.95 MB
082 05. Pipeline with Spam Data.mp4 49.69 MB
084 06. Conclusion and Challenge.mp4 60.68 MB
086 00 Project Preview.mp4 26.26 MB
087 01 What Is Apache Spark.mp4 13.46 MB
088 02 What Are Resilient Distributed Datasets.mp4 7.43 MB
089 03A What Is A Dataframe.mp4 8.63 MB
090 03B What You'll Need.mp4 8.64 MB
092 04 Start A Spark Session.mp4 23.55 MB
093 05 Load Data As A CSV.mp4 41.08 MB
094 06 Perform Basic Dataframe Operations.mp4 32.18 MB
095 07 Format Dataframe Table.mp4 38.95 MB
096 08 Perform Dataframe Math Operations.mp4 62.75 MB
097 09 Perform Dataframe Queries.mp4 87.99 MB
098 10 Build SQL Queries With Spark.mp4 44.19 MB
100 00 Project Preview.mp4 19.82 MB
101 01 Convert Csv File To A Python List.mp4 95.68 MB
102 02 Tokenize Text Data.mp4 168.6 MB
103 03 Find Most Popular Lemmatized Words.mp4 92.61 MB
104 04 Build Dataframes Per Part Of Speech.mp4 34.01 MB
105 05 Plot Word Frequency.mp4 58.06 MB
107 00 Project Preview.mp4 16.89 MB
108 01 Load A Dataset.mp4 71.53 MB
109 02 Analyze The Main Feature.mp4 15.95 MB
110 03 Analyze Numerical Features.mp4 59.18 MB
111 04 Analyze Categorical Features.mp4 54.34 MB
113 01 Find Relationships Between Numerical Features.mp4 68.93 MB
114 02 Find Relationships Between Categorical Features.mp4 49.22 MB
115 03 Build Conditional Plots.mp4 48.51 MB
117 00 Course Overview.mp4 7.96 MB
118 01 What You'll Need.mp4 13.53 MB
120 01 Why You Must Know How To Work With Data.mp4 15.59 MB
122 01 How To Read An ER Model.mp4 13.99 MB
124 01 What Is A Database.mp4 21.56 MB
125 02 What Is A Relational Database.mp4 13.28 MB
127 01 How To Design Columns And Data Types.mp4 9.19 MB
128 02 Use Normal Forms To Check Your Design.mp4 27.01 MB
130 01 Build A SQLite Database With Python.mp4 34.35 MB
131 02 Add An Entry To The Table With SQL.mp4 33.01 MB
132 03 Add More Records To The Table.mp4 34.96 MB
133 04 Build A Second Table For Cross-Referencing.mp4 75.5 MB
134 05 Select Rows That Meet Conditions.mp4 46.88 MB
136 Course Overview.mp4 8.95 MB
137 01 Load And Create Data.mp4 66.55 MB
138 02 Perform Exploratory Data Analysis.mp4 27.24 MB
139 03 Visualize Data With Different Plots.mp4 57.55 MB
140 04 Analyze Features With More Plots.mp4 35.07 MB
141 05 Build Plots With Seaborn.mp4 35.42 MB
142 06 Build A Bokeh Plot.mp4 37.34 MB
143 07 Build A 3D Scatter Plot.mp4 20.07 MB
144 08 Rank Feature Importance.mp4 39.64 MB
145 09 Compare Positive And Negative Returns.mp4 35.48 MB
147 00 Project Preview.mp4 10.9 MB
148 01 Load Crypto Prices Dataset.mp4 59.82 MB
149 02 Visualize Bitcoin Price Trend.mp4 23.35 MB
150 03 Predict Price With Facebook Prophet.mp4 39.19 MB
151 04 Analyze Model Performance.mp4 74.87 MB
152 05 Visualize Model Results.mp4 26.64 MB
153 06 Predict Monthly Trend.mp4 62.1 MB
154 07 Predict Weekly Trend.mp4 36.9 MB
155 08 Compare Final Stock Price Of Different Strategies.mp4 42.98 MB
157 00 Project Preview.mp4 12.71 MB
158 01 Fetch Stock Data.mp4 57.59 MB
159 02 Visualize Stock Data Features.mp4 47.77 MB
160 03 Calculate Daily Return.mp4 24.09 MB
161 04 Compare Returns Of Different Stocks.mp4 73.48 MB
162 05 Compare Closing Prices.mp4 56.03 MB
164 01 Visualize Standard Deviation And Expected Returns.mp4 26.74 MB
165 02 Calculate Value At Risk.mp4 21.08 MB
166 03 Monte Carlo Analysis To Estimate Risk.mp4 52.01 MB
167 04 Visualize Price Distribution.mp4 60.41 MB
169 00 What Is Web Scraping.mp4 21.98 MB
170 01 What You'll Need.mp4 7.49 MB
172 02 Build An HTML Webpage To Scrape.mp4 84.26 MB
173 03 Select Data Structures From A Webpage.mp4 34.93 MB
174 04 Extract URLs And Text.mp4 38.75 MB
175 05 Work With Tags.mp4 38.63 MB
176 06 Work With Attributes.mp4 23.85 MB
177 07 Add Navigation To A String.mp4 24.29 MB
178 08 Navigate HTML Contents.mp4 61.44 MB
179 09 Find All Filter.mp4 32.42 MB
181 01 Project Preview.mp4 9.38 MB
182 02 What Is Plotly And Dash.mp4 18.69 MB
183 03 What You'll Need.mp4 10.75 MB
185 01 Build A Dash App.mp4 98.92 MB
186 02 Build A Graph In The Dash App.mp4 77.88 MB
188 01 Load Data From Vega Datasets.mp4 33.49 MB
189 02 Build The Layout.mp4 55.74 MB
190 03 Build A Chart With Altair.mp4 71.97 MB
192 01 Project Preview.mp4 15.63 MB
193 01 Build A Dataset.mp4 141.13 MB
194 02 Compute Support And Confidence - If A Person Watches X, They Will Watch Y.mp4 64.77 MB
195 03 Compute Support And Confidence For All Channels.mp4 92.1 MB
196 04 Determine Which Videos Are Best To Recommend.mp4 67.8 MB
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