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Showing posts from January, 2019
Continued and completed the Linear Algebra Course and started a course with the MIT's professor's Computational thinking course at Edx. The course constitutes of Dynamic Programming and pretty tricks to make our code better and which holds a better computational ability. Then We Went ahead with Flask and making an API of our own with collaboration and learning in POSTMAN application and making various app route methodologies like CRUD principle including GET, POST, PUT, DELETE etc. Then today we got another lecture from Sarab Sir whose words do touch the internal neural networks of the mind but pretty hard to remember and probably alot to take in. He did tell about various things like Confidence Interval, Central Limit Theorm, Marginalisation, Chi Square Method and JIRA. That was one hell of a lecture.

Pre RepublicDay WORK

As for the remaining part of the week we worked upon our Linear Algebra by watching a couple of video lectures and did various modules of python including matplotlib, Seaborn,plotly, Cufflinks and watched andrew ng lectures for a better clarity of the topics. As for republic day assignment, worked on logistical regression.

21.01.2019 + 22.01.19 - PANDAS

Studied various modules and lectures related to PANDAS and various operations and working with DataFrames and series. Then Practiced multiple excercises  on PANDAS and completed the Udemy Courses for the same. Then worked on Logistical Regression and will continue the same the next day until it is completed. 

PreToday Study Post

Started with python basics and Numpy Worked with basic assignments and probability questions along with new problems where the loops are reduced with the help of Numpy K Nearest neighbor KNN problems with Numpy Done mathematics including Multi-varied Calculus and ongoing Linear algebra. Started with Pandas today with a basic working on various functions of Pandas.