Python Hands-On Crash Course For Data Science 12+ Projects

Creation Time	Aug. 24, 2024, 9:08 a.m.
Last Access Time	Sept. 16, 2024, 8:38 a.m.
File Size	16.7 GB
Keywords	12 Crash For Python Hands-On Course Science Data Projects
Total Requests	9
Total Files	562
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44. Introduction To Machine Learning/1. Introduction.mp4 393.4 MB
45. Supervised Machine Learning/1. Supervised Machine Learning.mp4 384.1 MB
40. PROJECT Wikipedia Web Scraping/1. Web Scraping On Wikipedia.mp4 361.6 MB
48. Logistic Regression/1. Introduction 1.mp4 359.5 MB
60. Flask PROJECT and DEPLOYMENT/3. Exploratory Data Analysis (EDA).mp4 350.1 MB
50. Naive Bayes Classifier/2. Lab Session.mp4 311.9 MB
55. K-Means Clustering/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 291.4 MB
46. Linear Regression/4. Lab Session 3 Building Linear Regression Model.mp4 276.7 MB
46. Linear Regression/2. Lab Session 1 Exploratory Data Analysis(EDA).mp4 259.9 MB
50. Naive Bayes Classifier/1. Introduction.mp4 256.7 MB
46. Linear Regression/3. Lab Session 2 EDA Dealing With Categorical And Missing Values.mp4 256.4 MB
44. Introduction To Machine Learning/2. Applications Of A.IMachine Learning.mp4 253.2 MB
56. Hierarchical Clustering/3. Lab Session.mp4 240.8 MB
36. PROJECT Facebook Data Analysis with Python/1. Analyze Your Facebook Data Live!!.mp4 236.7 MB
60. Flask PROJECT and DEPLOYMENT/5. Hands-On With Flask.mp4 234.6 MB
42. PROJECT Web Scraping Building Amazon Auto Scraper/3. Building Amazon Auto Scraper.mp4 230.7 MB
48. Logistic Regression/4. Lab Session 2 Exploratory Data Analysis(EDA).mp4 222.7 MB
56. Hierarchical Clustering/1. Introduction.mp4 218.8 MB
60. Flask PROJECT and DEPLOYMENT/4. Model Building.mp4 210.8 MB
41. PROJECT Online Book Store Web Scrapping/2. PART 2 Book Store Web Scrapping.mp4 208.1 MB
60. Flask PROJECT and DEPLOYMENT/8. Final Deployment.mp4 203.7 MB
51. K-Nearest Neighbor (KNN)/3. Lab Session.mp4 197.3 MB
53. Support Vector Machine (SVM)/1. Introduction.mp4 187.0 MB
51. K-Nearest Neighbor (KNN)/2. KNN Distance Measures.mp4 184.2 MB
60. Flask PROJECT and DEPLOYMENT/7. Creating Folder Contents.mp4 178.6 MB
60. Flask PROJECT and DEPLOYMENT/6. Creating The Necessary Folders.mp4 178.2 MB
46. Linear Regression/1. Linear Regression.mp4 177.0 MB
48. Logistic Regression/3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 174.9 MB
51. K-Nearest Neighbor (KNN)/1. Introduction.mp4 174.8 MB
32. Python Tips & Tricks/2. PART 2 Python Tips & Tricks.mp4 169.4 MB
59. Flask Tutorial/3. Create Your First Flask App Linking HTML File.mp4 164.2 MB
48. Logistic Regression/5. Lab Session 3 Building Logistic Regression Model.mp4 159.8 MB
53. Support Vector Machine (SVM)/4. Lab Session 2 Building A Support Vector Machine (SVM) Model.mp4 158.7 MB
48. Logistic Regression/2. Introduction 2.mp4 155.0 MB
41. PROJECT Online Book Store Web Scrapping/4. PART 4 Book Store Web Scrapping.mp4 138.9 MB
35. PROJECT Linkedin Data Analysis with Python/2. Linkedin Connections Company Analysis with Python.mp4 135.9 MB
26. Scipy/1. Scipy.mp4 133.6 MB
21. Pandas/1. Pandas Series 1.mp4 133.2 MB
51. K-Nearest Neighbor (KNN)/5. Choosing K In K-NN.mp4 131.8 MB
3. What is Python/2. Install and Write Your First Python Code.mp4 126.5 MB
59. Flask Tutorial/4. Create Your First Flask App Linking CSS File.mp4 125.1 MB
19. Numpy/14. Numpy DataFrame Introduction.mp4 124.1 MB
19. Numpy/11. Numpy Indexing & Slicing.mp4 120.5 MB
34. PROJECT Amazon Live Oder Data Analysis with Python/1. Introduction.mp4 117.3 MB
32. Python Tips & Tricks/1. PART 1 Python Tips & Tricks.mp4 117.2 MB
42. PROJECT Web Scraping Building Amazon Auto Scraper/2. PART 2 Building Amazon Auto Scraper.mp4 115.8 MB
54. Unsupervised Machine Learning Clustering/1. Difference Between KNN and K-Means Algorithms.mp4 114.8 MB
27. Scikit-Learn/1. Scikit-Learn.mp4 112.0 MB
3. What is Python/1. Introduction.mp4 111.1 MB
51. K-Nearest Neighbor (KNN)/4. Lab Session Building KNN Model.mp4 111.0 MB
41. PROJECT Online Book Store Web Scrapping/3. PART 3 Book Store Web Scrapping.mp4 110.1 MB
55. K-Means Clustering/1. What Is K-Means Clustering.mp4 101.2 MB
21. Pandas/9. Pandas How To Drop Columns And Rows In Pandas DataFrame.mp4 100.3 MB
35. PROJECT Linkedin Data Analysis with Python/1. Linkedin Connection Timeline Analysis with Python.mp4 100.3 MB
6. Hands-On With Python/2. Hands-On With Python Keywords And Identifiers.mp4 94.2 MB
56. Hierarchical Clustering/2. Dendrograms And Cophenetic correlation.mp4 87.1 MB
53. Support Vector Machine (SVM)/2. Dealing With Linearly Inseparable Points.mp4 81.5 MB
1. Download Course Curriculum/1. Curriculum Video Walkthrough.mp4 81.4 MB
21. Pandas/2. Pandas Series 2.mp4 81.2 MB
11. Python Functions/1. User Define Functions.mp4 81.1 MB
37. PROJECT Automate WhatsApp Messages with Python/1. Automate WhatsApp Messages.mp4 77.2 MB
60. Flask PROJECT and DEPLOYMENT/2. Introduction to Dataset.mp4 77.0 MB
21. Pandas/5. Pandas Operations On Pandas DataFrame.mp4 76.3 MB
55. K-Means Clustering/3. Choosing K in K-Means-The Elbow Method.mp4 75.2 MB
21. Pandas/22. PandasJoin.mp4 74.5 MB
35. PROJECT Linkedin Data Analysis with Python/3. Linkedin Connections Position Analysis with Python.mp4 73.9 MB
21. Pandas/7. Pandas Reading A Dataset Into Pandas DataFrame.mp4 72.5 MB
18. Extra Content/3. Splitting Function.mp4 71.9 MB
53. Support Vector Machine (SVM)/3. Lab Session 1 Exploratory Data Analysis(EDA).mp4 68.7 MB
21. Pandas/15. Pandas Conditional Selection With Pandas.mp4 67.1 MB
18. Extra Content/1. LIST.mp4 66.5 MB
38. PROJECT Facebook Messenger Automation With Python/1. Automate Facebook Messenger with Python.mp4 62.7 MB
21. Pandas/14. Pandas Pandas Describe Function.mp4 62.6 MB
29. Exception Handling In Python/4. Handling Exceptions With Try & Except.mp4 61.6 MB
19. Numpy/1. Introduction To Numpy.mp4 60.8 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/5. Misspelling, Missing and Misusing Python Keywords.mp4 59.8 MB
35. PROJECT Linkedin Data Analysis with Python/4. Linkedin Connections Position Analysis(WordCloud) with Python.mp4 59.5 MB
30. How To Work With Date And Time In Python/14. How To Handle Different Time Zones.mp4 59.0 MB
18. Extra Content/2. Working On List.mp4 58.6 MB
41. PROJECT Online Book Store Web Scrapping/1. PART 1 Book Store Web Scrapping.mp4 57.6 MB
14. Working With Files In Python/4. Writing To A File In Python.mp4 57.3 MB
21. Pandas/11. Pandas How To Rename A Column In Pandas Dataframe.mp4 56.7 MB
45. Supervised Machine Learning/2. Difference between Regression And Correlation.mp4 56.0 MB
14. Working With Files In Python/1. Python Files.mp4 55.0 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/30. Folium Plot.mp4 53.4 MB
18. Extra Content/4. Range In Python.mp4 52.3 MB
21. Pandas/23. Pandas Merge.mp4 52.3 MB
6. Hands-On With Python/5. Hands-On Coding Python Variables.mp4 51.8 MB
34. PROJECT Amazon Live Oder Data Analysis with Python/3. Drawing Insights From Data.mp4 50.7 MB
60. Flask PROJECT and DEPLOYMENT/1. Flask Introduction.mp4 50.3 MB
7. Python Output(), Input() and Import() Functions/2. Hands-On Coding Input() Function In Python.mp4 49.7 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/20. Sunburst Interactive Plotting 1.mp4 49.7 MB
19. Numpy/7. Numpy Resize Function.mp4 48.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/41. Animated Plot With Matplotlib Code Walk Through 4.mp4 48.0 MB
11. Python Functions/4. Lambda Function.mp4 47.8 MB
6. Hands-On With Python/3. Hands-On Code Python Comments.mp4 47.0 MB
21. Pandas/20. Pandas Concatenate Function.mp4 46.2 MB
8. Python Operators/3. Hands-On Coding Python Operators Logical Operators.mp4 45.6 MB
21. Pandas/4. Pandas DataFrame Introduction.mp4 45.2 MB
19. Numpy/15. Numpy Creating Matrix.mp4 44.6 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/42. Animated Plot With Matplotlib Final Output.mp4 44.0 MB
34. PROJECT Amazon Live Oder Data Analysis with Python/4. Time Series Analysis.mp4 43.4 MB
34. PROJECT Amazon Live Oder Data Analysis with Python/2. Data Cleaning.mp4 43.3 MB
21. Pandas/16. Pandas How To Deal With Null Values.mp4 43.3 MB
21. Pandas/13. Pandas How To Check For Missing Values or Null Values(isnull() Vs Isna()).mp4 43.2 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/28. Creating WordCloud.mp4 43.1 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/2. Python Syntax Errors.mp4 42.8 MB
6. Hands-On With Python/6. Hands-On Coding Rules and Naming Conventions for Python Variables.mp4 42.5 MB
34. PROJECT Amazon Live Oder Data Analysis with Python/6. Monthly Order Analysis.mp4 42.4 MB
21. Pandas/8. Pandas Adding A Column To Pandas DataFrame.mp4 42.0 MB
18. Extra Content/5. List Comprehension In Python.mp4 41.7 MB
8. Python Operators/4. Hands-On Coding Python Operators-Bitwise Operators.mp4 41.5 MB
21. Pandas/3. Pandas Loc & iLoc.mp4 41.1 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/11. Operator Errors In Python.mp4 40.8 MB
16. Python Packages and Libraries/2. PIP Install Python Libraries.mp4 39.5 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/32. Multi-Variable Time Series Plot.mp4 39.3 MB
15. Python Modules/1. Python Modules.mp4 38.6 MB
34. PROJECT Amazon Live Oder Data Analysis with Python/5. Daily Order Analysis.mp4 38.1 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/34. 3D Plots With Plotly.mp4 37.6 MB
30. How To Work With Date And Time In Python/17. DataFrame How to Get The Week and Leap Year from DataFrame.mp4 37.6 MB
5. Introduction To Google Colab/2. Introduction To Google Colab Working With Text.mp4 37.4 MB
30. How To Work With Date And Time In Python/12. How To Work With Timestamp.mp4 37.3 MB
30. How To Work With Date And Time In Python/10. Date and Time Formatting Using STRFTIME and STRPTIME.mp4 37.1 MB
5. Introduction To Google Colab/1. Introduction To Google Colab Overview.mp4 35.8 MB
19. Numpy/3. Numpy Arange Function.mp4 35.5 MB
23. Data Visualisation Libraries/1. Introduction.mp4 34.9 MB
29. Exception Handling In Python/6. The Finally Clause.mp4 34.8 MB
11. Python Functions/2. Arbitrary Arguments.mp4 34.6 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/12. Logical Errors In Python.mp4 34.4 MB
9. Python Flow Control/3. ELif Statement.mp4 34.2 MB
21. Pandas/10. Pandas How To Reset Index In Pandas Dataframe.mp4 34.1 MB
30. How To Work With Date And Time In Python/5. Working With TimeDelta in Python.mp4 33.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/36. Animated Plot With Plotly.mp4 33.0 MB
29. Exception Handling In Python/1. Exception Handling Introduction.mp4 32.7 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/39. Animated Plot With Matplotlib Code Walk Through 2.mp4 32.6 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/23. Bubble Plot.mp4 32.1 MB
19. Numpy/13. Numpy How To Create A Copy Dataset.mp4 31.0 MB
16. Python Packages and Libraries/1. Python Packages and Libraries.mp4 31.0 MB
29. Exception Handling In Python/2. Raising An Exception In Python.mp4 30.8 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/35. 3D Plots With Plotly Output.mp4 30.8 MB
30. How To Work With Date And Time In Python/6. How To Extract Week-Day From A Given Date 1.mp4 30.7 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/8. Python Runtime Error.mp4 30.5 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/15. Tree Plot.mp4 30.3 MB
19. Numpy/4. Numpy Zeros, Ones and Eye functions.mp4 30.1 MB
23. Data Visualisation Libraries/6. Altair.mp4 29.8 MB
23. Data Visualisation Libraries/7. ggplot.mp4 29.1 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/6. Missing Parentheses, Brackets and Quotes.mp4 29.1 MB
11. Python Functions/5. Built-In Function.mp4 28.6 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/1. Python Error Handling Introduction.mp4 28.4 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/24. Box Plot.mp4 28.4 MB
7. Python Output(), Input() and Import() Functions/3. Hands-On Coding Import() Function In Python.mp4 28.2 MB
30. How To Work With Date And Time In Python/1. Introduction.mp4 27.4 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/10. Searching On Stack Overflow.mp4 27.2 MB
4. Introduction To Jupyter Notebook/1. Getting Started With Anaconda.mp4 27.0 MB
21. Pandas/21. Pandas Join & Merge(Creating Dataset).mp4 26.7 MB
5. Introduction To Google Colab/3. Introduction To Google Colab Saving & Exporting Notebook.mp4 26.5 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/27. Word Cloud Overview Of Dataset.mp4 26.4 MB
13. Python Global and Local Variables/2. Local Variable.mp4 26.3 MB
30. How To Work With Date And Time In Python/16. DataFrame Get Year, Month and Day from a DataFrame 2.mp4 26.2 MB
30. How To Work With Date And Time In Python/19. Operations on Date and Time with Dataset 1.mp4 26.1 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/31. Time Series Plot.mp4 25.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/26. Wind Rose Chart.mp4 25.3 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/17. Heat Map.mp4 25.2 MB
21. Pandas/6. Pandas Selection And Indexing On Pandas DataFrame.mp4 25.2 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/10. Bivariate and Multivariate Distplot.mp4 25.0 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/3. How To Properly Read and Understand Errors In Python.mp4 24.6 MB
30. How To Work With Date And Time In Python/20. Operations on Date and Time with Dataset 2.mp4 24.4 MB
30. How To Work With Date And Time In Python/7. How To Extract Week-Day From A Given Date 2.mp4 24.0 MB
23. Data Visualisation Libraries/4. Plotly.mp4 24.0 MB
17. Data Types In Python/4. Lesson 4 Tuple & List Mutability.mp4 23.9 MB
4. Introduction To Jupyter Notebook/4. Introduction To Jupyter Notebook Working With Code(Saving & Exporting Notebook).mp4 23.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/21. Sunburst Interactive Plotting 2.mp4 23.8 MB
19. Numpy/10. NumpyGenerating Random Values With random.randint.mp4 23.3 MB
23. Data Visualisation Libraries/5. Plotly Display Output In Google Colab.mp4 23.2 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/22. Funnel Plot.mp4 23.0 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/19. Sunburst.mp4 23.0 MB
9. Python Flow Control/5. While loop.mp4 22.8 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/18. Scatter Matrix.mp4 22.7 MB
6. Hands-On With Python/4. Hands-On Coding Python Docstring.mp4 22.6 MB
29. Exception Handling In Python/5. The Else Clause.mp4 22.5 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/2. Plotting Bar Graphs.mp4 22.2 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/9. Zero Division Error.mp4 21.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/9. Distplot.mp4 21.9 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/18. Python KeyboardInterrupt.mp4 21.4 MB
9. Python Flow Control/1. If Statement.mp4 21.3 MB
8. Python Operators/5. Hands-On Coding Python Operators-Assignment Operators.mp4 21.1 MB
21. Pandas/12. Pandas Tail(), Column and Index.mp4 20.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/37. Animated Plot With Matplotlib COVID 19 Dataset.mp4 20.7 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/40. Animated Plot With Matplotlib Code Walk Through 3.mp4 20.6 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/33. 3D Plots With Matplotlib.mp4 20.3 MB
39. PROJECT Web Scraping PROJECT/5. Library Scrapy.mp4 20.3 MB
21. Pandas/19. Pandas Count() & Value_Count().mp4 20.3 MB
4. Introduction To Jupyter Notebook/2. Introduction To Jupyter Notebook Code Vs Markdown Vs Raw.mp4 20.3 MB
19. Numpy/6. Numpy Linspace.mp4 19.4 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/4. Python Common Syntax Errors.mp4 19.3 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/16. Pie Chart.mp4 19.0 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/38. Animated Plot With Matplotlib Code Walk Through 1.mp4 18.8 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/1. Bar Graph Dataset Overview.mp4 18.7 MB
21. Pandas/17. Pandas How To Sort Values In Pandas.mp4 18.6 MB
30. How To Work With Date And Time In Python/15. DataFrame Get Year, Month and Day from a DataFrame 1.mp4 18.6 MB
14. Working With Files In Python/3. The With Statement.mp4 18.4 MB
17. Data Types In Python/5. Lesson 5 Tuple Immutability.mp4 18.1 MB
30. How To Work With Date And Time In Python/21. Operations on Date and Time with Dataset 3.mp4 18.1 MB
19. Numpy/9. NumpyGenerating Random Values With random.randn.mp4 17.9 MB
17. Data Types In Python/7. Lesson 7 Dictionary.mp4 17.6 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/7. Indentation Error.mp4 17.5 MB
8. Python Operators/7. Hands-On Coding Python Operators-Membership Operators.mp4 17.5 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/6. Histogram.mp4 17.5 MB
30. How To Work With Date And Time In Python/2. How To Extract Day, Month and Year from a given Time.mp4 17.4 MB
9. Python Flow Control/7. Continue Statement.mp4 17.3 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/29. Folium Overview Of Dataset.mp4 17.1 MB
9. Python Flow Control/4. For loop.mp4 16.9 MB
39. PROJECT Web Scraping PROJECT/2. Library Requests.mp4 16.6 MB
23. Data Visualisation Libraries/3. Seaborn.mp4 16.4 MB
19. Numpy/8. NumpyGenerating Random Values With random.rand.mp4 16.3 MB
23. Data Visualisation Libraries/2. Matplotlib.mp4 16.0 MB
9. Python Flow Control/6. Break Statement.mp4 15.8 MB
30. How To Work With Date And Time In Python/18. DataFrame How to Get Age from Date.mp4 15.7 MB
59. Flask Tutorial/1. Flask Introduction.mp4 15.6 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/12. Scatter Plot.mp4 15.5 MB
11. Python Functions/3. Function With Loops.mp4 15.3 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/15. Python KeyError.mp4 15.3 MB
8. Python Operators/1. Hands-On Coding Python Operators-Arithmetic Operators.mp4 15.1 MB
29. Exception Handling In Python/3. Raising An AssertionError In Python.mp4 15.1 MB
15. Python Modules/3. The from...import Statement.mp4 14.7 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/8. Facet Histogram.mp4 14.4 MB
30. How To Work With Date And Time In Python/8. How To Generate Calendar.mp4 14.3 MB
30. How To Work With Date And Time In Python/3. How to Extract Hours, Minutes, Seconds and Micro-seconds from a given Time.mp4 14.2 MB
30. How To Work With Date And Time In Python/11. How To Extract The Year, Month, Day Time Using STRFTIME.mp4 14.2 MB
17. Data Types In Python/1. Lesson 1 Integer & Floating Point Numbers.mp4 14.1 MB
17. Data Types In Python/2. Lesson 2 Complex Numbers & Strings.mp4 14.0 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/13. Relplot.mp4 13.8 MB
9. Python Flow Control/2. If...Else Statement.mp4 12.6 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/16. Python ImportError.mp4 12.4 MB
8. Python Operators/2. Hands-On Coding Python Operators Comparison Operators.mp4 12.2 MB
42. PROJECT Web Scraping Building Amazon Auto Scraper/1. Part 1 Building Amazon Web Scraper.mp4 12.0 MB
19. Numpy/12. Numpy Broadcasting.mp4 12.0 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/14. Python ModuleNotFoundError.mp4 12.0 MB
7. Python Output(), Input() and Import() Functions/1. Hands-On Coding Output() Function In Python.mp4 11.6 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/11. Hexplot.mp4 11.5 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/13. Python IndexError.mp4 11.5 MB
39. PROJECT Web Scraping PROJECT/4. Library Selenium.mp4 11.5 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/4. Stacked Bar Graphs.mp4 11.3 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/25. Violin Plot.mp4 11.3 MB
13. Python Global and Local Variables/1. Global Variable.mp4 11.0 MB
30. How To Work With Date And Time In Python/4. How To Update current Date.mp4 10.6 MB
39. PROJECT Web Scraping PROJECT/1. Web Scraping Introduction.mp4 10.5 MB
19. Numpy/5. Numpy Reshape Function.mp4 10.1 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/14. LM Plot.mp4 10.0 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/3. Horizontal Bar Graphs.mp4 10.0 MB
19. Numpy/2. Numpy Creating Multi-Dimensional Arrays.mp4 9.8 MB
8. Python Operators/6. Python Hands-On Python Operators-Special Operators.mp4 9.8 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/7. Marginal Histogram.mp4 9.6 MB
17. Data Types In Python/3. Lesson 3 LIST.mp4 9.6 MB
30. How To Work With Date And Time In Python/13. How To Convert Strings To DateTime Using STRPTIME.mp4 9.6 MB
59. Flask Tutorial/2. Create Your First Flask App.mp4 9.5 MB
4. Introduction To Jupyter Notebook/3. Introduction To Jupyter Notebook Working With Text.mp4 9.1 MB
39. PROJECT Web Scraping PROJECT/3. Library BeautifulSoup.mp4 8.6 MB
15. Python Modules/2. Renaming Modules.mp4 8.4 MB
30. How To Work With Date And Time In Python/9. How To Format Date and Time in Python.mp4 8.4 MB
17. Data Types In Python/6. Lesson 6 Set.mp4 8.2 MB
28. ERRORS Handling, Fixing and Debugging Errors In Python/17. Python ValueError.mp4 7.9 MB
24. How to Plot Different Types of Data Visualisations using Various Libraries/5. Group Bar Graphs.mp4 7.8 MB
14. Working With Files In Python/2. The Close Method.mp4 7.4 MB
6. Hands-On With Python/1. Python Hands-On Introduction.mp4 6.1 MB
21. Pandas/18. Pandas Pandas Groupby.mp4 4.5 MB
1. Download Course Curriculum/TDS-Python-Crash-Course-Curriculum.pdf 1.2 MB
48. Logistic Regression/1. Introduction 1-en_US.srt 81.9 KB
55. K-Means Clustering/2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 76.9 KB
60. Flask PROJECT and DEPLOYMENT/3. Exploratory Data Analysis (EDA)-en_US.srt 76.7 KB
56. Hierarchical Clustering/3. Lab Session-en_US.srt 74.1 KB
45. Supervised Machine Learning/1. Supervised Machine Learning-en_US.srt 67.2 KB
50. Naive Bayes Classifier/2. Lab Session-en_US.srt 64.2 KB
46. Linear Regression/2. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 63.6 KB
46. Linear Regression/4. Lab Session 3 Building Linear Regression Model-en_US.srt 63.5 KB
46. Linear Regression/3. Lab Session 2 EDA Dealing With Categorical And Missing Values-en_US.srt 59.5 KB
50. Naive Bayes Classifier/1. Introduction-en_US.srt 53.0 KB
48. Logistic Regression/4. Lab Session 2 Exploratory Data Analysis(EDA)-en_US.srt 49.0 KB
40. PROJECT Wikipedia Web Scraping/1. Web Scraping On Wikipedia-en_US.srt 45.7 KB
51. K-Nearest Neighbor (KNN)/3. Lab Session-en_US.srt 45.3 KB
44. Introduction To Machine Learning/1. Introduction-en_US.srt 44.7 KB
42. PROJECT Web Scraping Building Amazon Auto Scraper/3. Building Amazon Auto Scraper-en_US.srt 43.1 KB
36. PROJECT Facebook Data Analysis with Python/1. Analyze Your Facebook Data Live!!-en_US.srt 42.6 KB
46. Linear Regression/1. Linear Regression-en_US.srt 42.5 KB
60. Flask PROJECT and DEPLOYMENT/6. Creating The Necessary Folders-en_US.srt 41.3 KB
56. Hierarchical Clustering/1. Introduction-en_US.srt 39.3 KB
48. Logistic Regression/3. Lab Session 1 Exploratory Data Analysis(EDA)-en_US.srt 39.2 KB
60. Flask PROJECT and DEPLOYMENT/4. Model Building-en_US.srt 38.8 KB
48. Logistic Regression/2. Introduction 2-en_US.srt 37.5 KB
32. Python Tips & Tricks/2. PART 2 Python Tips & Tricks-en_US.srt 37.3 KB
48. Logistic Regression/5. Lab Session 3 Building Logistic Regression Model-en_US.srt 36.5 KB
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19. Numpy/14. Numpy DataFrame Introduction-en_US.srt 25.1 KB
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5. Introduction To Google Colab/Lesson Resources.html 179 bytes
33. PYTHON PROJECTS/Introduction.html 175 bytes
4. Introduction To Jupyter Notebook/Lecture Resources.html 165 bytes
56. Hierarchical Clustering/Lecture Resources.html 112 bytes
44. Introduction To Machine Learning/Lecture Resources.html 90 bytes
2. Datasets/Download Datasets.html 82 bytes
46. Linear Regression/Dataset.html 67 bytes
19. Numpy/Lecture Resources.html 52 bytes
21. Pandas/Lecture Resources.html 52 bytes

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