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Study Materials
Fullstack DataScience Materials
Fullstack DataScience Materials
FullStack Data Science Videos
Session-1 Introduction To Data Science Part-1
Session-2 Introduction To Data Science Part-2
Session-3 Introduction To Data Science Part-3
Session-4 Python Introduction
Session-5 Python Operators
Session-6 Python List
Session-7 List Indexing and Slicing
Session-8 Introduction To OOPS Part-1
Session-9 Introduction to OOPS-Part2
Session-10 Python List Methods Part-1
Session-11 List Methods Part-2
Session-12 Python Tuples and Sets
Session-13 Python Frozen Sets and Dictionary
Session-14 Python IDEs
Session-15 Jupyter Notebook Part-1
Session-16 Jupyter Notebook Part-2
Session-17 Conditional Statements
Session-18 Control Statements
Session-19 Comprehensions
Session-20 Iterables and Iterators
Session-21 String Class Part-1
Session-22 String Class Part-2
Session-23 User Defined Functions Part-1
Session-24 _args and _kwargs
Session-25 Python Modules
Session-26 Python Modules Part-2
Session-27 Python Module Math
Session-28 Introduction to Numpy
Session-29 Numpy Part-1
Session-30 Numpy Part-2
Session-31 Numpy Part-3
Session-32 Numpy Part-4
Session-33 Numpy ND Arrays
Session-34 Introduction To Pandas
Session-35 Datasets for Data science
Session-36 Creating of Pandas Data Frames
Session-37 Importing Data From CSV Files Part-1
Session-38 Importing Data From CSV Files Part-2
Session-39 Importing Data From CSV Files Part-3
Session-40 Importing Data From Excel
Session-41 Importing Data From Other Files
Session-42 Slicing and Indexing of DataFrames Part-1
Session-43 Slicing and Indexing of DataFrames Part-2
Session-44 Working with Dataframe Indexes
Session-45 iloc and loc on DataFrames Part-1
Session-46 iloc and loc on DataFrames Part-2
Session-47 Statistical Analysis on DataFrames Part-1
Session-48 Statistical Analysis on DataFrames Part-2
Session-49 Statistical Analysis on DataFrames Part-3
Session-50 Statistical Analysis on DataFrames Part-4mp4
Session-51 Handling Mission Values Part-1
Session-52 Handling Mission Values Part-2
Session-53 Pandas GroupBY
Session-54 Pivot_Table ,Dropping of Columns and Rows
Session-55 Melt and Pivot Part-1
Session-56 Melt and Pivot Part-2
Session-57 Merge Part-1
Session-58 Merge Part-2
Session-59 Pandas Apply
Session-60 Introduction To Data Visualization
Session-61 Scatter Plot using Matplotlib
Session-62 Line Plot using Matplotlib
Session-63 Marker and Line Plots
Session-64 Box Plots and Bar Charts
Session-65 Advanced Visualization Part-1
Session-66 Advanced Visualization Part-2
Session-67 Introduction to Seaborn
Session-68 Plotting using Seaborn
Session-69 Subplots using Matplotlib
Session-70 Auto EDA in Python
Session-71 Introduction to Machine Learning Part-1
Session-72 Introduction to Machine Learning Part-2
Session-73 Introduction to Machine Learning Part-3
Session-74 Introduction to Machine Learning Part-4
Session-75 Introduction to Decision Trees
Session-76 Concept of Decision Trees
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