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@100DaysOfMLCode Twitter Bot for Promoting 100DaysOfMLCode Campaign. Follow to get started. Made by
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Day 203
#301DaysOfCode - 4500 contributions@github Day 25#100DaysOfMLCode - Introduction to classifications & Logistic Regression https://github.com/NishkarshRaj/100DaysofMLCode …#100DaysOfCode#Git#GitHub#OpenSource#Linux#Python#MachineLearning#ArtificialInteligence#DevOps#DeepLearningpic.twitter.com/H3cut1B8qZ
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This video explains
@GoogleAI 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance! "Horses go to Hayvard!" https://youtu.be/STrrlLG15OY#100DaysOfMLCode -
#100DaysOfCode#60Daysofudacity#WomenWhoCode#100DaysOfMLCode Day 13. Honestly I didn't code. Why? Because I need to understand the algorithms and they're very difficult.

I know Python but the Machine Learning world is new to me. So I read this:
http://www.deeplearningbook.org/contents/intro.html …Show this thread -
Day 162/300 - Added 7 object detection pipelines to Monk-GUI - A Graphical user Interface for deep learning and computer vision over Monk Libraries: https://github.com/Tessellate-Imaging/Monk_Gui/blob/master/README.md …
#100DaysOfCode#100DaysOfMLCode#301DaysOfCode#DeepLearning#ArtificialIntelligence#OpenSource#github pic.twitter.com/mGQakfmLMX -
D45
#100DaysOfCode Back to#python@carnesbeau Learn Python by Building 5 Games. A little over and hour in great content and article. https://www.freecodecamp.org/news/learn-python-by-building-5-games/ …#freeCodeCamp#100DaysOfMLCode#301DaysOfCode#codingnewbie#coding#newbiecoder#learningtocode#datascience#javascriptpic.twitter.com/aWjyenrTlG -
23/100 Not really a full day of "butt in seat" time, but I got some good problem solving in. Coding consisted of going back into some math and generalizing the hard numbers I used to originally get that part of the algorithm done.
#100DaysOfCode#100DaysOfMLCodeShow this thread -
Round 2 Day 42 of
#100DaysOfCode I am still going back and forth between perception and gradient descent. Looking for that 'click' moment to move on! Submitted the first ML algorithm and got the new one right after it :D#100DaysOfMLCode -
Day 8/100 Created and recorded my second Machine Learning Web App which predicts whether the patient has diabetes or not. Github:https://github.com/vidit0210/PIMA-DNN-Web-App … YouTube playlist:https://www.youtube.com/watch?v=sDDrWi1M9ZA&list=PLBGtu4gGjGLmVTuHABZVZNzJGui2Ur1t7&index=5 …
#100DaysOfMLCode#100daysOfCode#MachineLearningpic.twitter.com/DyoTTKtP8u
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D44
#100DaysOfCode Took a break from#python again and got a good day started with#javascript but eventually went back to#frontend and hammered out the rest of#freeCodeCamp
#100DaysOfMLCode#301DaysOfCode#codingnewbie#coding#newbiecoder#learningtocode#datasciencepic.twitter.com/TbNlqlinlT
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#100DaysOfMLCode#100DaysOfCode Day 30: Recommender system project in python. Github link:https://github.com/MDSADABWASIM/ML-Project/blob/master/Code/Day30-RecommenderSystem.ipynb … -
Day-17 & 18: Continuing with Python
on Python for Data Science and Machine Learning Bootcamp on @udemy And started pandas and Numpy in#python A big thank to Jose Portilla#100DaysOfCode#100DaysOfMLCode -
Today we show you how you can get up and running with W&B in a GCP instance, so you can start tracking your model experiments like a pro.
#100DaysOfMLCode#DeepLearning#Machinelearninghttps://www.wandb.com/articles/gcp-with-weights-biases … -
Day 7: 1) Studied the problem of overfitting and it's solution by regularization. 2) Exploring Neural networks and started third week's assignment. 3) Parallelly enjoying image processing with openCV.
#100DaysOfMLCode -
R1D41:
#100DaysOfCode#100DaysOfMLCode#60DaysofUdacity#womenintech 3 Stuff to get done today. Spatial Analysis by Luc Anselin Lecture 1-6. Udacity Lesson 8. Creation of dataset with different azimuths and altitude.pic.twitter.com/qLF94XG8vr -
Day 39 : Working on my DeepLearning nanodegree from Udacity. Learned the black box theory of Gradient Deacent and used it to implement a neural network to predict bike sales.
#100DaysOfMLCode#100DaysOfCode -
Day 24
#100DaysOfMLCode - Wrapping up the regression part with a comparison of models and their performance. https://github.com/NishkarshRaj/100DaysofMLCode …#100DaysOfCode#Git#GitHub#OpenSource#DevOps#MachineLearning#ArtificialIntelligence#DeepLearning -
Day 22
#100DaysOfMLCode - Introduction to Random Forest Regression and coded in Python https://github.com/NishkarshRaj/100DaysofMLCode …#100DaysOfCode#Git#GitHub#OpenSource#DevOps#MachineLearning#DeepLearning#ArtificialIntelligence -
I highly recommend checking out the lecture series from "Full Stack Deep Learning" on YouTube https://www.youtube.com/watch?v=5ygO8FxNB8c&t=920s …
#100DaysOfMLCode -
If you're doing ML & need a community of people to nerd out with – W&B Forum is it. We have folks entering & winning hackathons together, getting help on weekend projects, talking shop. It's a great time
#MachineLearning#DeepLearning#100DaysofMLCode http://bit.ly/wandb-forumShow this thread -
Tensors are the basic data structures on which any Neural Network Framework is built.
#TensorFlow is named after Tensors. It is basically the regularization of matrices and Vectors.#100DaysOfMLCode#DeepLearningpic.twitter.com/suxLfEEhAi
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