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Showing posts from February, 2019

Pre : Last Week of February

Did a breif videos of Danko regarding machine learning understanding and its connection to neuroscience and the Human Brain. Then did videos of EM and and clustering with the explanation of cosine similarity. Did natural language processing understood various concepts of Term Frequency and Inverse Document Frequency and finding the various concepts towards feature engineering in natural language processing.

4th Week of February: Wednesday

Implemented Kmeans from scratch and then implemented it without using any For loops except for the iteration one.. Then learned the concept of broadcasting and changing shapes into 3D for arithmetic computation and processes which was insane.!! Plotted various kmeans features and images showing the centroids to move towards the desired output. Worked on the project regarding comparing two images with SSIM (Structured Similarity Index) and worked on its code. Tried yolo on a live video camera detecting my own Sexy face :D
Started with the KMeans this week with an exciting effort towards Unsupervised learning and worked towards implementing it with Sklearn Library and afterwards towards from scratch implementation. Downloaded the Tableau visualization software for more interesting and fulfilling visualization of Data. Watched a TedX talk video and worked towards our project. Studied the Mean Shift Algorithm for the project and worked towards finding out how to do the car recognition so as to improve the accuracy of the project i am working on.

LAST WEEK SUMMARY

We did a lot of work playing with DATA making us the data scientist in one form and performed various exploratory data analysis (EDA) and performed various features engineering and in whole was a wonderful week. We also studied about Precision and recall, Ridge and Lasso though I didn't get much of Ridge Lasso. We did various other supervised lectures with Mr Sarab about SVM(Support Vector Machines) and Decision Trees which brought the supervised to and end and we are going to start unsupervised Learning on Monday. i.e Today.

2nd Week of Feburary- Professional Approach

Worked towards implementing Tesseract and not the Avengers one. Worked towards understanding a better implementation of Logistic Regression and how to handle the Data playing part with cleaning and wrangling and approached towards a professional approach of Logistic regression towards Sklearn Metrics libraries. It was a good week and taught a lot.