Apr 20 2023 2023 Master Class On Data Science Using Python A-Z™ : For Ml BaDshaH LEARNING / e-learning - Tutorials 07:47 0 Published 4/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.43 GB | Duration: 5h 49mPython NumPy, Pandas, Matplotlib and Seaborn for Data Analysis, Data Science and ML. Pre-machine learning Analysis. What you'll learnStudents will learn how to create and manipulate arrays, perform mathematical operations on arrays, and use functions such as sorting, searching, and statisticsStudents will learn how to create and manipulate Series and Data Frames.Students will learn how to create plots and charts, customize the appearance of visualizations, and add annotations and labels.NumPy, Pandas, and Matplotlib will typically teach students how to use these tools to analyze and visualize data.RequirementsLittle knowledge in Python will be an added advantage. Student can still learn python basics from the BONUS section.DescriptionWelcome to 2023 Master class on Data Science using Python. NumPy is a leading scientific computing library in Python while Pandas is for data manipulation and analysis. Also, learn to use Matplotlib for data visualization. Whether you are trying to go into Data Science, dive into machine learning, or deep learning, NumPy and Pandas are the top Modules in Python you should understand to make the journey smooth for you. In this course, we are going to start from the basics of Python NumPy and Pandas to the advanced NumPy and Pandas. This course will give you a solid understanding of NumPy, Pandas, and their functions.At the end of the course, you should be able to write complex arrays for real-life projects, manipulate and analyze real-world data using Pandas.WHO IS THIS COURSE FOR?√ This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization.√ This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib and Seaborn.√ This course is for you if you want to learn NumPy, Pandas, Matplotlib and Seaborn for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning.√ This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well.√ This course is for you if you are tired of NumPy, Pandas, Matplotlib and Seaborn courses that are too brief, too simple, or too complicated.√ This course is for you if you have to get the prerequisite knowledge to understanding Data Science and Machine Learning using NumPy and Pandas.√ This course is for you if you want to learn NumPy and Pandas by doing exciting real-life challenges that will distinguish you from the crowd.√ This course is for you if plan to pass an interview soon.OverviewSection 1: BONUS : Python Crash CourseLecture 1 Variables in PythonLecture 2 Conditionals & If statementLecture 3 Example for If statementLecture 4 If else statementLecture 5 Example of If else statementLecture 6 Nested If statementLecture 7 Example for Nested If statementLecture 8 Elif statementLecture 9 Example for Elif statementLecture 10 While loopLecture 11 Example of while loopLecture 12 For LoopLecture 13 Example of For LoopLecture 14 Break & Continue StatementLecture 15 Introduction to containersLecture 16 Creating and accessing lists in PythonLecture 17 List indexing and slicingLecture 18 Working with List methodsLecture 19 Working with operators on listsLecture 20 List ComprehensionLecture 21 Tuple : definitionLecture 22 TuplesLecture 23 Tuple Indexing & SlicingLecture 24 Manipulating TuplesLecture 25 Unpacking TuplesLecture 26 SetsLecture 27 DictionariesLecture 28 Basics of dictionaryLecture 29 Accessing dictionaryLecture 30 len, str & type functions in dictionaryLecture 31 Functions in pythonLecture 32 Example program1 on FunctionsLecture 33 Example program2 on functionsSection 2: Data Handling using NumpyLecture 34 Introduction to modules in pythonLecture 35 Creating & Displaying 1D arrayLecture 36 Understanding 1D array IndexLecture 37 Creating Array of 0's and Array of 1'sLecture 38 Sorting elements in 1D arrayLecture 39 Slicing a 1D arrayLecture 40 Mathematical Operations on ArrayLecture 41 Searching an element in a ArrayLecture 42 Filtering an arrayLecture 43 Checking whether given array is empty or not ?Lecture 44 Creating & Displaying 2D arrayLecture 45 ndim AttributeLecture 46 Size AttributeLecture 47 Shape and reshape of arrayLecture 48 Creating an Identity MatrixLecture 49 arange()Lecture 50 linspace()Lecture 51 Random arrayLecture 52 Random matrixLecture 53 Creating a diagonal matrixLecture 54 Flatten a MatrixLecture 55 Computing Trace of a MatrixLecture 56 Finding Transpose of a MatrixLecture 57 Negative indexing to access elements in a 2D arraySection 3: Data Handling using PandasLecture 58 Introduction to PandasLecture 59 Working with series in PandasLecture 60 Combining series with NumpyLecture 61 Finding number of elements in a seriesLecture 62 Computing mean, max and min in a seriesLecture 63 Sorting a SeriesLecture 64 Displaying Unique values in a SeriesLecture 65 Summary of series statisticsSection 4: Data Visualization using Matplotlib in PythonLecture 66 Introduction to MatplotlibLecture 67 Creating Line GraphLecture 68 Creating Bar GraphLecture 69 Creating Scatter GraphLecture 70 Creating Histogram GraphLecture 71 Creating Pie ChartLecture 72 Creating 3D PlotLecture 73 Creating 3D Line graphSection 5: Data Visualization using Seaborn in PythonLecture 74 Understanding a sample Dataset (Downloadable)Lecture 75 Introduction to SeabornLecture 76 Swarm PlotLecture 77 Violin PlotLecture 78 Facet GridsLecture 79 HeatmapSection 6: Problem Solving AssignmentsSection 7: Projects√ This course is for you if you want to learn NumPy, Pandas, and Matplotlib for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning. √ This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well. √ This course is for you if you are tired of NumPy, Pandas, and Matplotlib courses that are too brief, too simple, or too complicated. √ This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib. √ This course is for you if you have to get the prerequisite knowledge to understanding Data Science and Machine Learning using NumPy and Pandas. √ This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization. √ This course is for you if you want to learn NumPy and Pandas by doing exciting real-life challenges that will distinguish you from the crowd. √ This course is for you if plan to pass an interview soon.Homepagehttps://www.udemy.com/course/master-class-on-datascience/Download From Rapidgatorhttps://rapidgator.net/file/0da5dfc29e53915d909ede9717acddd9https://rapidgator.net/file/4027293d01e3b8c691710db319c91e8ehttps://rapidgator.net/file/e555612dd0e07b2545be35970ae4e4fbDownload From Ddownloadhttps://ddownload.com/j398b05wq2qlhttps://ddownload.com/7k0mv8690jmuhttps://ddownload.com/l2qzffzekrmd Related News Complete Course on Data Visualization, Matplotlib and PythonData Science With Python (4-Course Bundle)Master Microsoft Excel, Outlook And Word 2013 - 26 HoursLearn Machine Learning To Apply It In Real Life 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