Top Tweets for #5khrsWork
@AnalyticsVidhya @ykashnitsky @sirajraval @udemy @UdemyCouponclub @kirill_eremenko Day 101: Continued learning about Boltzmann machines and RBM from "Deep Learning A-Z @udemy Course". Also completed the remaining section of python 3 Bootcamp course. (1.5hr)
#100DaysOfMLCode #100DaysOfCode #SoDS19 #5khrswork
Github: https://t.co/vIABJQ3nAB
@AnalyticsVidhya @ykashnitsky @sirajraval @udemy @UdemyCouponclub Day 100: Studying deep learning concepts from "Deep Learning A-Z" @udemy course.Especially learning Boltzmann machine and Restricted Boltzmann machine (1hr) @kirill_eremenko #100DaysOfCode #100DaysOfMLCode #SoDS19 #5khrswork
@AnalyticsVidhya @ykashnitsky @sirajraval Day 99: Completed the long-pending Udemy Course - Python for Data Science and Machine Learning Bootcamp. Learned basic NLP - Bag of words model and PySpark RDD transformations (1.5hrs) #100DaysOfCode #100DaysOfMLCode #SoDS19 #5khrswork
@AnalyticsVidhya @ykashnitsky Day 98: Went through the math of intelligence - svm video by @sirajraval. Nicely explained video about SVM. Definitely check it out. (1hr)
#100DaysOfCode #100DaysOfMLCode #SoDS19 #5khrswork
https://t.co/95LjpjgJaP
@AnalyticsVidhya Day 97: Revisited the time series analysis - ARIMA, SARIMA family models and also ETS Models: Holt-Winters model. Thanks to @ykashnitsky and team for producing the awesome blog post on time series.
https://t.co/dKP3lMh0Ed
#100DaysOfCode #SoDS19 #5khrswork
Day 95 and Day 96: Yesterday was working on @AnalyticsVidhya hackathon India ML hackathon it's an imbalanced data problem.(4hrs). Today spent some time learning svm and math behind it. (2hrs). #100DaysOfMLCode #100DaysOfCode #SoDS19 #5khrswork
Day 94: Participated in the LANL Earthquake challenge by following the steps mentioned by @sirajraval. Also implemented CatBoost and SVR Models in the challenge. awesome video quality content. (2hrs)
#100DaysOfCode #100DaysOfMLCode #SoDS19 #5khrswork
https://t.co/YFGBZ4Caul
Day 93: I started my #100DaysOfMLCode after a break (forced one..) of 3 days because I been attending and preparing for the interviews. Today I started to reading tree-based modeling especially boosting concepts - cat,xg,light (4hrs). #100DaysOfCode #SoDS19 #5khrswork
Day 92: (6th August): Today worked on the SQL problem challenge and NLP review classification challenge from Amazon ML hackathon (4hrs). missed to update yesterday night. π
#100DaysOfMLCode #100DaysOfCode #5khrswork #SoDS19
Day 91: Today fully worked on Amazon ML Challenge. It has two problems - SQL Join and NLP Classification challenge.
(4hrs)
#100DaysOfMLCode #100DaysOfCode #SoDS19 #5khrswork
https://t.co/LRi0ltS5iJ
Day 90: Today is a #boosting day. Started reading ensemble techniques - boosting algorithms. Studied about adaboost and gradient boosting π².. (2hrs) #100DaysOfCode #100DaysOfMLCode #SoDS19 #5khrswork .
Day 89: Completed the RCNN, FRCNN and YOLO Lectures from the PadhAI Deep Learning Course. After that, watched SSD lectures from youtube (4hrs)
#100DaysOfMLCode #5khrsWork #SoDS19
Day 88: Completed LSTM Hands-on with Pytorch and Started reading object detection modules - RCNN, FRCNN from Deep learning - https://t.co/YXv9tMJ3jb
(2hrs) #100DaysOfMLCode #5khrswork #SoDS19
Day 84: Spent most of the time reading about LR Finder, Cyclic learning rate, 1cycle policy and implemented the same in inclass competition in kaggle. some time to fine-tune my resume format and content (4hrs)
#100DaysofMLCode #SoDS19 #5khrswork
https://t.co/rlGVnvANLi
Day 83: Studied the concepts of PCA and Factor analysis and done a project on "Customer Credit card segmentation" used PCA as Hands-On Practice. (3hrs). After that, started reading about "Attention" Models (1hr). #100DaysofMLCode #SoDS19 #5khrswork #PCA
https://t.co/YVB0RTsSJs
Day 80: Learned encoder-decoder model for image transliteration & machine translation. Worked on a project "Predict the damage to a building" decision trees and improved its performance using CV. Will release code tomorrow(2hrs)
#100DaysofMLCode #SoDS19 #5khrswork #100DaysOfCode
Day 79: Continued reading encoder-decoder models related to image captioning and read decision trees chapter in ISLR, worked on attrition problem. (2hrs) #100DaysofMLCode #SoDS19 #5khrswork #100DaysOfCode
https://t.co/AR7kxQnu3t
Day 78: started reading about encoder and decoder models and also spent some time working on the blog post. After that revisted decision trees algorithm from "Data Mining and predictive analytics book". (2.5hr) #100DaysOfMLCode #SoDs19 #5khrswork
Day 73: Started revising #linearregression from my old notebook - assumptions & derivations. Read chapters 2 - "Statistical Learning" and 3 - "Linear regression" from #islr book. (3hrs) #100DaysOfMLCode #5khrswork #MachineLearning #SoDS19
@AnalyticsVidhya @PyTorch @rctatman @kaggle Day 70: Done with the blog pushed for publication will be out in 2 days. Stay tuned for that. Read about LSTM & GRU (1hr) and after that revisited SQL Select, Where and Groupby in kaggle (1hr).
https://t.co/YM7UOuk8gS
#100DaysOfMLCode #5khrswork #SoDS19 #DataScience
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