Udemy Complete Python for Data Science and Machine Learning from A-Z

Files Included :

1 Installing Anaconda Distribution for Windows.mp4 (130.37 MB)
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2 Installing Anaconda Distribution for MacOs.mp4 (61.12 MB)
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3 Installing Anaconda Distribution for Linux.mp4 (127.26 MB)
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4 Reviewing The Jupyter Notebook.mp4 (72.93 MB)
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5 Reviewing The Jupyter Lab.mp4 (48.94 MB)
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1 Comparison Operators.mp4 (19.93 MB)
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2 Structure of "if" Statements.mp4 (27.79 MB)
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3 Structure of "if-else" Statements.mp4 (15.58 MB)
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7 Ternary Condition.mp4 (20.59 MB)
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1 For Loop in Python.mp4 (22.58 MB)
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2 For Loop in Python(Reinforcing the Topic).mp4 (23.06 MB)
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3 Using Conditional Expressions and For Loop Together.mp4 (36.63 MB)
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4 Continue Command.mp4 (13.79 MB)
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5 Break Command.mp4 (20.71 MB)
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6 List Comprehension.mp4 (25.91 MB)
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1 While Loop in Python.mp4 (17.02 MB)
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2 While Loops in Python Reinforcing the Topic.mp4 (58.81 MB)
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1 Getting know to the Functions.mp4 (39.54 MB)
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2 How to Write Function.mp4 (24.39 MB)
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3 Return Expression in Functions.mp4 (17.82 MB)
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4 Writing Functions with Multiple Argument.mp4 (13.56 MB)
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5 Writing Docstring in Functions.mp4 (20.06 MB)
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1 Arguments and Parameters.mp4 (47.42 MB)
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2 High Level Operations with Arguments.mp4 (39.13 MB)
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1 all(), any() Functions.mp4 (27.56 MB)
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2 map() Function.mp4 (15.93 MB)
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3 filter() Function.mp4 (16.26 MB)
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4 zip() Function.mp4 (14.2 MB)
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5 enumerate() Function.mp4 (12.51 MB)
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6 max(), min() Functions.mp4 (7.6 MB)
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7 sum() Function.mp4 (5.57 MB)
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8 round() Function.mp4 (13.58 MB)
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9 Lambda Function.mp4 (42.62 MB)
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1 Local and Global Variables.mp4 (13.41 MB)
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2 Features of Class.mp4 (31.62 MB)
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3 Instantiation of Class.mp4 (23.46 MB)
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4 Attribute of Instantiation.mp4 (32.76 MB)
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5 Write Function in the Class.mp4 (23.98 MB)
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6 Inheritance Structure.mp4 (35.51 MB)
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1 Introduction to NumPy Library.mp4 (45.29 MB)
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3 The Power of NumPy.mp4 (59.87 MB)
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1 Creating NumPy Array with The Array() Function.mp4 (29.44 MB)
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2 Creating NumPy Array with Zeros() Function.mp4 (24.04 MB)
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3 Creating NumPy Array with Ones() Function.mp4 (15.86 MB)
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4 Creating NumPy Array with Full() Function.mp4 (11.18 MB)
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5 Creating NumPy Array with Arange() Function.mp4 (12.09 MB)
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6 Creating NumPy Array with Eye() Function.mp4 (12.59 MB)
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7 Creating NumPy Array with Linspace() Function.mp4 (7.33 MB)
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8 Creating NumPy Array with Random() Function.mp4 (43.31 MB)
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9 Properties of NumPy Array.mp4 (21.98 MB)
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1 Reshaping a NumPy Array Reshape() Function.mp4 (26.17 MB)
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2 Identifying the Largest Element of a Numpy Array.mp4 (15.13 MB)
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3 Detecting Least Element of Numpy Array Min(), Ar.mp4 (10.19 MB)
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4 Concatenating Numpy Arrays Concatenate() Functio.mp4 (38.35 MB)
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5 Splitting One-Dimensional Numpy Arrays The Split.mp4 (20.91 MB)
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6 Splitting Two-Dimensional Numpy Arrays Split(),.mp4 (35.7 MB)
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7 Sorting Numpy Arrays Sort() Function.mp4 (17.04 MB)
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1 Python Introduction.mp4 (25.31 MB)
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3 First Step to Coding.mp4 (28.13 MB)
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4 Using Quotation Marks in Python Coding.mp4 (36.37 MB)
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5 How Should the Coding Form and Style Be (Pep8).mp4 (39 MB)
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1 Indexing Numpy Arrays.mp4 (26.6 MB)
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2 Slicing One-Dimensional Numpy Arrays.mp4 (22.28 MB)
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3 Slicing Two-Dimensional Numpy Arrays.mp4 (34.28 MB)
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4 Assigning Value to One-Dimensional Arrays.mp4 (18.19 MB)
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5 Assigning Value to Two-Dimensional Array.mp4 (35.41 MB)
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6 Fancy Indexing of One-Dimensional Arrrays.mp4 (20.5 MB)
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7 Fancy Indexing of Two-Dimensional Arrrays.mp4 (45.74 MB)
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8 Combining Fancy Index with Normal Indexing.mp4 (12.65 MB)
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9 Combining Fancy Index with Normal Slicing.mp4 (16.46 MB)
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1 Operations with Comparison Operators.mp4 (21.17 MB)
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2 Arithmetic Operations in Numpy.mp4 (71.82 MB)
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3 Statistical Operations in Numpy.mp4 (32.03 MB)
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4 Solving Second-Degree Equations with NumPy.mp4 (24.22 MB)
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1 Introduction to Pandas Library.mp4 (33.96 MB)
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1 Creating a Pandas Series with a List.mp4 (39.19 MB)
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2 Creating a Pandas Series with a Dictionary.mp4 (18.29 MB)
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3 Creating Pandas Series with NumPy Array.mp4 (11.96 MB)
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4 Object Types in Series.mp4 (19.57 MB)
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5 Examining the Primary Features of the Pandas Seri.mp4 (18.93 MB)
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6 Most Applied Methods on Pandas Series.mp4 (48.18 MB)
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7 Indexing and Slicing Pandas Series.mp4 (29.88 MB)
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1 Creating Pandas DataFrame with List.mp4 (22.57 MB)
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2 Creating Pandas DataFrame with NumPy Array.mp4 (12.1 MB)
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3 Creating Pandas DataFrame with Dictionary.mp4 (15.83 MB)
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4 Examining the Properties of Pandas DataFrames.mp4 (25.94 MB)
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1 Adding Columns to Pandas Data Frames.mp4 (33.61 MB)
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2 Removing Rows and Columns from Pandas Data frames.mp4 (15.57 MB)
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3 Null Values in Pandas Dataframes.mp4 (67 MB)
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4 Dropping Null Values Dropna() Function.mp4 (34.55 MB)
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5 Filling Null Values Fillna() Function.mp4 (51.64 MB)
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6 Setting Index in Pandas DataFrames.mp4 (39.66 MB)
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1 Multi-Index and Index Hierarchy in Pandas DataFrames.mp4 (42.66 MB)
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2 Element Selection in Multi-Indexed DataFrames.mp4 (24.59 MB)
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1 Loading a Dataset from the Seaborn Library.mp4 (37.7 MB)
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2 Examining the Data Set 1.mp4 (42.87 MB)
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3 Aggregation Functions in Pandas DataFrames.mp4 (90.7 MB)
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4 Examining the Data Set 2.mp4 (46.58 MB)
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9 Advanced Aggregation Functions Apply() Function.mp4 (41.43 MB)
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1 Introduction to Basic Data Structures in Python.mp4 (26.07 MB)
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2 Performing Assignment to Variables.mp4 (37.87 MB)
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3 Performing Complex Assignment to Variables.mp4 (15 MB)
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4 Type Conversion.mp4 (32.76 MB)
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5 Arithmetic Operations in Python.mp4 (30.32 MB)
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6 Examining the Print Function in Depth.mp4 (29.23 MB)
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7 Escape Sequence Operations.mp4 (30.18 MB)
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1 Examining the Data Set 3.mp4 (39.14 MB)
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2 Pivot Tables in Pandas Library.mp4 (54.24 MB)
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1 Accessing and Making Files Available.mp4 (34.64 MB)
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2 Data Entry with Csv and Txt Files.mp4 (64.34 MB)
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3 Data Entry with Excel Files.mp4 (21.83 MB)
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4 Outputting as an CSV Extension.mp4 (35.7 MB)
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5 Outputting as an Excel File.mp4 (19.76 MB)
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1 What is Matplotlib.mp4 (19.05 MB)
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2 Using Pyplot.mp4 (28.21 MB)
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3 Pyplot – Pylab - Matplotlib.mp4 (28.36 MB)
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4 Figure, Subplot and Axes.mp4 (69.86 MB)
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5 Figure Customization.mp4 (63.3 MB)
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6 Plot Customization.mp4 (27.36 MB)
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7 Grid, Spines, Ticks.mp4 (23.89 MB)
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8 Basic Plots in Matplotlib I.mp4 (111.18 MB)
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9 Basic Plots in Matplotlib II.mp4 (54.83 MB)
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1 What is Seaborn.mp4 (13.58 MB)
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2 Controlling Figure Aesthetics in Seaborn.mp4 (41.81 MB)
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3 Example in Seaborn.mp4 (54.92 MB)
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4 Color Palettes in Seaborn.mp4 (48.31 MB)
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5 Basic Plots in Seaborn.mp4 (98.83 MB)
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6 Multi-Plots in Seaborn.mp4 (43 MB)
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7 Regression Plots and Squarify in Seaborn.mp4 (60.1 MB)
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1 What is Geoplotlib.mp4 (34.17 MB)
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2 Example - 1.mp4 (38.87 MB)
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3 Example - 2.mp4 (81.16 MB)
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4 Example - 3.mp4 (51.28 MB)
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1 What is Machine Learning.mp4 (27.6 MB)
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2 Machine Learning Terminology.mp4 (14.03 MB)
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1 Classification vs Regression in Machine Learning.mp4 (19.9 MB)
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4 Machine Learning With Python.mp4 (92.27 MB)
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1 What is Supervised Learning in Machine Learning.mp4 (31.69 MB)
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1 What is Bias Variance Trade-Off.mp4 (55.04 MB)
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1 Boolean Logic Expressions.mp4 (19.92 MB)
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2 Order Of Operations In Boolean Operators.mp4 (3.98 MB)
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3 Practice with Python.mp4 (36.63 MB)
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1 K-Fold Cross-Validation Theory.mp4 (17.46 MB)
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2 K-Fold Cross-Validation with Python.mp4 (34.68 MB)
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1 K Nearest Neighbors Algorithm Theory.mp4 (28.67 MB)
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1 Hyperparameter Optimization Theory.mp4 (33.13 MB)
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2 Hyperparameter Optimization with Python.mp4 (47.45 MB)
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1 Decision Tree Algorithm Theory.mp4 (35.76 MB)
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2 Decision Tree Algorithm with Python Part 1.mp4 (31.54 MB)
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3 Decision Tree Algorithm with Python Part 2.mp4 (48.92 MB)
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4 Decision Tree Algorithm with Python Part 3.mp4 (14.72 MB)
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5 Decision Tree Algorithm with Python Part 4.mp4 (42.49 MB)
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6 Decision Tree Algorithm with Python Part 5.mp4 (32.7 MB)
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1 Random Forest Algorithm Theory.mp4 (22.9 MB)
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2 Random Forest Algorithm with Pyhon Part 1.mp4 (38.58 MB)
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3 Random Forest Algorithm with Pyhon Part 2.mp4 (38.74 MB)
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1 Unsupervised Learning Overview.mp4 (16.92 MB)
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1 K Means Clustering Algorithm Theory.mp4 (17.14 MB)
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1 Examining Strings Specifically.mp4 (33.47 MB)
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10 String Formatting With % Operator.mp4 (36.63 MB)
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11 String Formatting With String Format Method.mp4 (32.33 MB)
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12 String Formatting With f-string Method.mp4 (20.6 MB)
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2 Accessing Length Information (Len Method).mp4 (9.01 MB)
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4 Character Change Method In Strings Replace().mp4 (17.79 MB)
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5 Spelling Substitution Methods in String.mp4 (17.11 MB)
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6 Character Clipping Methods in String.mp4 (24.28 MB)
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7 Indexing and Slicing Character String.mp4 (27.12 MB)
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8 Complex Indexing and Slicing Operations.mp4 (32.93 MB)
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9 String Formatting with Arithmetic Operations.mp4 (20.96 MB)
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1 What is the Recommender System Part 1.mp4 (23.04 MB)
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2 What is the Recommender System Part 2.mp4 (17.96 MB)
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1 What is Kaggle.mp4 (129.73 MB)
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3 Registering on Kaggle and Member Login Procedures.mp4 (43.47 MB)
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5 Getting to Know the Kaggle Homepage.mp4 (122.93 MB)
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1 Competitions on Kaggle Lesson 1.mp4 (188.16 MB)
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2 Competitions on Kaggle Lesson 2.mp4 (191.75 MB)
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1 Datasets on Kaggle.mp4 (133.17 MB)
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1 Examining the Code Section in Kaggle Lesson 1.mp4 (79.56 MB)
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2 Examining the Code Section in Kaggle Lesson 2.mp4 (105.81 MB)
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3 Examining the Code Section in Kaggle Lesson 3.mp4 (159.89 MB)
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1 What is Discussion on Kaggle.mp4 (40.62 MB)
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1 Courses in Kaggle.mp4 (52.14 MB)
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2 Ranking Among Users on Kaggle.mp4 (107.07 MB)
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3 Blog and Documentation Sections.mp4 (40.93 MB)
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1 User Page Review on Kaggle.mp4 (81.52 MB)
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2 Treasure in The Kaggle.mp4 (74.67 MB)
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3 Publishing Notebooks on Kaggle.mp4 (38.23 MB)
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4 What Should Be Done to Achieve Success in Kaggle.mp4 (58.5 MB)
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1 Creation of List.mp4 (52.43 MB)
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4 Adding and Deleting by Methods.mp4 (21.5 MB)
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5 Adding and Deleting by Index.mp4 (20.4 MB)
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6 Other List Methods.mp4 (24.78 MB)
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1 Required Python Libraries.mp4 (63.58 MB)
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2 Loading the Statistics Dataset in Data Science.mp4 (10 MB)
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3 Initial analysis on the dataset.mp4 (63.97 MB)
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1 Examining Missing Values.mp4 (45.78 MB)
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2 Examining Unique Values.mp4 (44.56 MB)
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1 Dropping Columns with Low Correlation.mp4 (26.83 MB)
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11 Separating Data into Test and Training Set.mp4 (29.77 MB)
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2 Visualizing Outliers.mp4 (34.89 MB)
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5 Dealing with Outliers – Thalach Variable.mp4 (36.23 MB)
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6 Dealing with Outliers – Oldpeak Variable.mp4 (36.07 MB)
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7 Determining Distributions of Numeric Variables.mp4 (25.18 MB)
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1 Logistic Regression.mp4 (29.34 MB)
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2 Cross Validation.mp4 (30.19 MB)
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3 Roc Curve and Area Under Curve (AUC).mp4 (41.67 MB)
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4 Hyperparameter Optimization (with GridSearchCV).mp4 (58.77 MB)
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5 Decision Tree Algorithm.mp4 (25.71 MB)
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6 Support Vector Machine Algorithm.mp4 (24.5 MB)
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7 Random Forest Algorithm.mp4 (29.78 MB)
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8 Hyperparameter Optimization (with GridSearchCV).mp4 (52.67 MB)
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1 Project Conclusion and Sharing.mp4 (28.66 MB)
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1 Creation of Tuple.mp4 (42.47 MB)
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1 Creation of Dictionary.mp4 (21.84 MB)
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2 Reaching Dictionary Elements.mp4 (31.55 MB)
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4 Dictionary Methods.mp4 (34.67 MB)
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1 Creation of Set.mp4 (32.85 MB)
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2 Adding & Removing Elements Methods in Sets.mp4 (18.76 MB)
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3 Difference Operation Methods In Sets.mp4 (19.9 MB)
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4 Intersection & Union Methods In Sets.mp4 (10.76 MB)
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5 Asking Questions to Sets with Methods.mp4 (22.97 MB)
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