100 Days of Machine Learning Coding as proposed by Siraj Raval, cloned from https://github.com/Avik-Jain/100-Days-Of-ML-Code
My logbooks for #100DaysOfMLCode, if you don´t know what is it, look -> https://https://www.youtube.com/watch?v=cuQMBj1cWPo/
Follow me on twitter https://twitter.com/gortaina and see my track on this journey.
| Track | Status |
|---|---|
| Logbook Round 1 - Click here | Complete 🚀 |
| Logbook Round 2 - Click here | Complete 🚀🚀 |
| Logbook Round 3 - Click here | Complete 🚀🚀🚀 |
My journey through 100 days of ML code. Third Round
Minha jornada do desafio 100 dias de código de Machine Learning
emoticon for commit https://gitmoji.carloscuesta.me/ #100DaysOfCode Imagens '''
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Services names in different clouds.
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Data Visualizations and Dashboards Design
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Business Analytics = Business + Big Data + Data Science
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Power BI - M Lang Scripts
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Creating Jobs on PySpark to process .7z files - Part II
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Creating Jobs on PySpark to process .7z files Part II
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Creating Jobs on PySpark to process .7z files
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Let´s code on dataproc(Spark) - google cloud - Part II
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Finally better! Oximeter 99%
Let´s code on dataproc - google cloud
#100DaysOfMLCode
Still sick but getting better
some code today, hall day in bed
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Feeling sick after taking the covid19 vaccine
not code today, all day in bed
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Machine Learnin Course finished - Data Science Academy
#100DaysOfMLCode
Soving math problems
Linear functions
#100DaysOfMLCode
Preparing for Hackathon - A3 Data Challenge
Follow some advices
https://www.hackreactor.com/blog/how-to-prepare-for-your-first-hackathon
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Getting new learning
AI on Sales
https://www.datascienceacademy.com.br/bundle/formacao-inteligencia-artificial-para-vendas
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Program completed!
https://blackbelt.analyticsvidhya.com/plus
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Alexa on power bi!
https://www.youtube.com/watch?v=ZdCW2ytVZxw
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Disruptive revolution event - by IGTI
https://www.igti.com.br/disruptive-revolution-7-a-10-de-junho-21/
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Utilizing Stanford NLP's pretrained GloVe - Part II
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Utilizing Stanford NLP's pretrained GloVe
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Improving f1-score througth ensemble method
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Django on data! - part II
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Django on data!
#100DaysOfMLCode
Governance on data?
https://medium.com/swlh/data-lake-design-for-better-architecture-storage-security-data-governance-16d2a36721ba
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How to spot a data charlatan ? Read this:
https://towardsdatascience.com/how-to-spot-a-data-charlatan-85785c991433
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think that I don´t understanding:
On LSTM model, I reach on 0.8 on f1-Score, but in generalization falls to 0.266
On OneVsRestClassifier, I reach on .3 on f1-Score, but in generalization increase to 0.43
What hell is this ? 😖😖😖
#100DaysOfMLCode
Sentiment Analysis a little easier
https://towardsdatascience.com/fine-grained-sentiment-analysis-in-python-part-1-2697bb111ed4
#100DaysOfMLCode
From "It works on my machine!"
to
"It works on my model on my machine!" 😆
#100DaysOfMLCode
Refactoring python code for using pipelines, like that
simple_pipeline = Pipeline([
('counts', CountVectorizer()),
('classifier', MultinomialNB())
])
#100DaysOfMLCode
Microsoft Build 2021 🚀
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Solving query exercies part II
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Solving query exercies
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Hackathon on google kickstart
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Chatboots with Rasa
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Making ETL´s using applestore dataset on powerbi
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Google I/O - Getting badges and learning TensorFlowLite
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Basic "autoML" with many loops and ifs
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Google I/O
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Using terraform in AWS
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Reviewing exercises made for WorldQuant University(NLP topic)
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Finished a bootcamp on Data Science by Alura
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Percona event!
https://events.percona.com/events/details/percona-virtual-presents-percona-live-online/#/
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Learning using Word2Vec and GloVe<br
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Learning spaCy for NLP<br
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Solving pipelines problems with Rony framework = Part II<br
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Solving pipelines problems with Rony framework<br
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Sentiment Analisys on LSTM - Part II
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Sentiment Analisys on LSTM
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Machine Learning for Data Analysis by IGTI
#100DaysOfMLCode
ETL on PowerBI is soooo simple! Get to the point
#100DaysOfMLCode
Exercises on Combinatory Analysis
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Pandas or Swifter for data clean
https://medium.com/@jmcarpenter2/swiftapply-automatically-efficient-pandas-apply-operations-50e1058909f9
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Getting into Bootcamp Data Engineering with André Sionek
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30 days of code complete - HackerRank
#100DaysOfMLCode
Complete all exercises form Black Belt course - Analytics Vidhya
#100DaysOfMLCode
Light GBM, XGBoost and CatBoost on "Breakfast-at-the-Frat-master" dataset, wich is better?
#100DaysOfMLCode
Light GBM on "Breakfast-at-the-Frat-master" dataset
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Feature Engineering on "Breakfast-at-the-Frat-master" dataset
#100DaysOfMLCode
Tensor Flow - Retraining an Image Classifier - tutorial
#100DaysOfMLCode
https://www.tensorflow.org/hub/tutorials/tf2_image_retraining?hl=pt
Retail Demand Prediction - Exercises
#100DaysOfMLCode
Google Jam Round 1B 2021
#100DaysOfMLCode
Interview with me for "Desenvolvendo Me" channel, check it out:
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Google Kickstart APAC, mentoring
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Fashion MNIST dataset on Keras - Deep Learning #100DaysOfMLCode
Hackaton on Kick Start APAC - Google #100DaysOfMLCode
Binary Search Tree - PArt II #100DaysOfMLCode
Binary Search Tree - PArt I #100DaysOfMLCode
HackerRank updated
https://www.hackerrank.com/gortaina?badge=30-days-of-code&stars=4&level=2&hr_r=1&utm_campaign=social-buttons&utm_medium=linkedin&utm_source=badge_share&social=linkedin
#100DaysOfMLCode
Kick Stark will be open in 30 hours!
https://codingcompetitions.withgoogle.com/kickstart/
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Time for Qwiklabs \o
https://go.qwiklabs.com/ace-april?utm_source=linkedin&utm_medium=social&utm_campaign=ace-april
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Part II - Dataset Analysis, tunninh hyperparameters for:
SVC, Random Forest Classifier, with Random Search
https://www.openml.org/d/1480
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\o/ Practice on Coding \o/
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Dataset Analysis, tunninh hyperparameters for:
SVC, Random Forest Classifier, with Random Search
https://www.openml.org/d/1480
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Coding practice on Google JAM Archives - PArt II
Half complete \o
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never_give_up_2021-04-12_10-04-24.png
Coding practice on Google JAM Archives
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Google JAM Roun 1 :( I dind´t pass for next round, a little disappointed, well, I need study more and more practice!!!
#100DaysOfMLCode
Google JAM Roun 1
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Open.ml hackaton!
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Big Notation! Translate search functions from O(n!) to best case such as O(1), O(logn), O(n)...
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EDA on datasets: bloodtransfer, wine and diabetes - Part II
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EDA on datasets: bloodtransfer, wine and diabetes
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Solving HackerRank problems \0
#100DaysOfMLCode
watching Keras class part III
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watching Keras class part II
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watching Keras class
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Kaggle competitions \o
#100DaysOfMLCode
Solving HackerRank problems
#100DaysOfMLCode
Google JAM - Round Qualified \o
"Congratulations — you've qualified for Round 1 of Code Jam 2021 — great work!" 🚀🚀🚀
#100DaysOfMLCode
Hacker Rank - solving exercises
https://www.hackerrank.com/
#100DaysOfMLCode
Google JAM 2021
https://codingcompetitions.withgoogle.com/codejam/
#100DaysOfMLCode
Data analysis of 50 Startups dataset, find out correlaton between R&D Spend and Profit
https://www.kaggle.com/farhanmd29/50-startups
#100DaysOfMLCode
Data analysis of Game of Thrones dataset, to find out which lives ou dies, predicting the fate of characters
https://www.kaggle.com/mylesoneill/game-of-thrones
#100DaysOfMLCode
using Banknote's authentication dataset to find out which forecasting algorithm is best for this case: KNN, Decision Tree, Random Forest, SVM, MLP, etc
https://archive.ics.uci.edu/ml/datasets/banknote+authentication
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ML Exercise about bike sharing by kaggle
https://www.kaggle.com/c/bike-sharing-demand/data
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Learning how make a exaustive hypothesis about data without look it
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"Structured Thinking and Communication for Data Science Professionals" course completed!
#100DaysOfMLCode #AnalyticsVidhya
Using version control for power bi projects take a look
https://github.com/awaregroup/powerbi-vcs
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Joined in 4th International Data Analysis Olympiad
https://idao.world/ !
#100DaysOfMLCode
Start of Journey - Round 3!
#100DaysOfMLCode
Joel Melo
arquitetura.joel@gmail.com
gortaina
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