#100daysofmlcode ผลการค้นหา
.@SimonPrinceAI finished 68 (!!!) notebooks that go with his book "Understanding Deep Learning". These are *excellent* for learning/teaching deep learning. Notebooks and book pdf at: udlbook.com #100DaysOfMLCode

Day 89 of #100DaysOfMLCode Got up at 5 am today 1.Brief overview on deep learning,its history and its applications and computational aspects 2.Solved number of provinces Q 3.Gave a kaggle competition today. #100DaysOfCode

Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode

Day 20, 21, 22,23 doing a transfer learning on previously created model. Basically created a dataset on which parameters of other model are been copied. this was done by freezing the base level of our model and updating the classifier layer. #100daysofdev #100daysofMLcode




Day 86 of #100DaysOfMLCode 1.Learned about message switching and data link protocols in CN 2.Learned abt Naive Bayes in detail. 3.Started graphs and solved one ques #100DaysOfCode

Day 85 of #100DaysOfMLCode 1.Read abt routers,circuit and packet switching in cn 2.learned abt SVM in detail and its mathematical implementation #100DaysOfCode

#Day61 of #100DaysOfMLCode Doing Another Project about Measures of Dispersion and Percentiles on Datawars. Do Check these exercises here if u are interested in DataScience/ ML or Statistics app.datawars.io/project/5d7168… app.datawars.io/project/12d365…
Welcome to Day15 of #100DaysOfMLCode Topic covered today: 1) Error Analysis 2) Transfer Learning Also did 2 SQL BASIC Problems on Leetcode Time To Do It Again Tomorrow #ExitPoll #ExitPoll #LoksabhaElection2024

Day 90 of #100DaysOfMLCode got up at 5 am today Had clg 9-4 1.Understood abt perceptron and its mathematical significance 2.Solved Rotting oranges Q Drew a neuron while drawing a perceptron..😅 #100DaysOfCode


Day 89 of #100DaysOfMLCode Got up at 5 am today 1.Brief overview on deep learning,its history and its applications and computational aspects 2.Solved number of provinces Q 3.Gave a kaggle competition today. #100DaysOfCode

Day 93 of #100DaysOfMLCode 1.Learned abt different types of loss functions and their significance 2.Revised previous concepts 3.Working on a assignment #100DaysOfCode

Day 92 of #100DaysOfMLCode Had clg 9-2 1.Understood abt multi layer perceptron and forward propagation Couldn't do much today,revving up for tomm. #100DaysOfCode

Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode

Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode

#Day10 of #100DaysOfMLCode Continuing my Journey of Learning Data Structures with Pandas. Couldn't do much Today, Hope to finish it by tomorrow
#Day7 of #100DaysOfMLCode Learning Data Structures with Pandas
#Day31 of #100DaysOfMLCode Completed and Submitted my College Assignment. (Maths, Stats, CT)
Day 94 of #100DaysOfMLCode 1.Learned a bit about backpropagation in DL 2.Revised some dl concepts 3.workng on a heavy ml model from morning #100DaysOfCode

Day 93 of #100DaysOfMLCode 1.Learned abt different types of loss functions and their significance 2.Revised previous concepts 3.Working on a assignment #100DaysOfCode

#Day9 of #100DaysOfMLCode Learning Data Structures with Pandas will finish by tomorrow. Till now, I learnt about Series (1 Dimensional Data) Dataframe (2D Data)
Day 92 of #100DaysOfMLCode Had clg 9-2 1.Understood abt multi layer perceptron and forward propagation Couldn't do much today,revving up for tomm. #100DaysOfCode

Day 91 of #100DaysOfMLCode 1.Understood the detailed analogy of perceptron with its loss function and problem associated with it for non linear data 2.Creating my new portfolio website #100DaysOfCode

Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode

Day 86 of #100DaysOfMLCode 1.Learned about message switching and data link protocols in CN 2.Learned abt Naive Bayes in detail. 3.Started graphs and solved one ques #100DaysOfCode

#Day71 of #100DaysOfMLCode Finished the Python and Pandas Course I shared Yesterday. 😃
Day 91 of #100DaysOfMLCode 1.Understood the detailed analogy of perceptron with its loss function and problem associated with it for non linear data 2.Creating my new portfolio website #100DaysOfCode

Day 90 of #100DaysOfMLCode got up at 5 am today Had clg 9-4 1.Understood abt perceptron and its mathematical significance 2.Solved Rotting oranges Q Drew a neuron while drawing a perceptron..😅 #100DaysOfCode


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.@SimonPrinceAI finished 68 (!!!) notebooks that go with his book "Understanding Deep Learning". These are *excellent* for learning/teaching deep learning. Notebooks and book pdf at: udlbook.com #100DaysOfMLCode

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Welcome to Day15 of #100DaysOfMLCode Topic covered today: 1) Error Analysis 2) Transfer Learning Also did 2 SQL BASIC Problems on Leetcode Time To Do It Again Tomorrow #ExitPoll #ExitPoll #LoksabhaElection2024

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Day 20, 21, 22,23 doing a transfer learning on previously created model. Basically created a dataset on which parameters of other model are been copied. this was done by freezing the base level of our model and updating the classifier layer. #100daysofdev #100daysofMLcode




Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode

Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode

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