Tutorials > Udemy - Mastering Numpy,Pandas and MatDescriptionLib-Data Manipulation Tool
Udemy - Mastering Numpy,Pandas and MatDescriptionLib-Data Manipulation ToolDate: 29 January 2022 | Posted by: voska89 |
![]() Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.57 GB | Duration: 5h 30m Learn Numpy, pandas and matDescriptionlib library which is the path for Data Science, Machine Learning, Data Analysis What you'll learn How to Download and Install Jupyter Notebook Working with Numpy for Numerical Computing Working with Array in Numpy Management of data Working with Pandas for data manipulations Series and DataFrames Reading files using Pandas Data Visualization Using MatDescriptionlib Library Descriptionting Histogram, Bargraph, Scatter Description, BoxDescription, Pie Chart and many more Description If you are looking to make a career as a Data Scientist, Data Analyst, Machine Learning Expert using Python, then Numpy, Pandas and MatDescriptionlib library is very important to learn in today's scenario. In this course you will get a detailed explanation of topics and functions related to Numpy, pandas and matDescriptionlib library. After this course, you can able to do Data Manipulation and Data Visualization. You can say these tools are the ladder for the Data Scientist. Important Feature of this course is as follows 1. Every topic is covered practically. 2. Explained in very easy language. 3. Non-Programming background can also understand easily 4. Demonstrated in a simple way so that you can do the same by watching videos. For Data Science aspirant, this is the best course. Nowadays Data Visualization is an important tool to take decisions in organizations. Here using matDescriptionlib library you can easily visualize the data using histogram, bar chart, pie chart, scatter diagram and many more. Topics Covered in Numpy 1. Numpy Array 2. Numpy indexing and Slicing 3. Copy vs View 4. Numpy Array Shape, Reshape 5. Numpy Array Iterating 6. Numpy Array joining and Merging 7. Splitting , Searching and Sorting 8. Filtering 9. Random Module Topics Covered in Pandas 1. Series 2. DataFrame 3. Import Files/Dataset 4. Merging , Joining and Concatenating 5. Analyzing Data 6. Cleaning Data 7. Data Manipulation Topics Covered in MatDescriptionlib 1. Importance of Data Visualization 2. Type of Data Visualization 3. Concepts of matDescriptionlib Library 4. Line Descriptionting 5. Histogram 6. Bar Description 7. Scatter Description 8. Pie Chart 9. Box Description 10. Area Chart Who this course is for Students , Teachers, Professional who want to go for Data Science , Machine Learning , Data Analysis and Data Visualization Homepage DOWNLOAD LINK Download (Uploadgig) https://uploadgig.com/file/download/6ef28F159a1fdd24/50id9.M.N.a.M.M.T.rar Download ( Rapidgator ) https://rapidgator.net/file/1eaa0cfcf619f0bd58b04bf83b657afc/50id9.M.N.a.M.M.T.rar.html Download ( NitroFlare ) http://nitro.download/view/49FA1EDD387E347/50id9.M.N.a.M.M.T.rar Links are Interchangeable - No Password - Single Extraction See full article |