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https://github.com/12345k/100-days-of-ml-code


https://github.com/12345k/100-days-of-ml-code

100-days-of-code-log implementation implementation-of-algorithms machine-learning machine-learning-algorithms python siraj-raval siraj-raval-challenge

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# 100-Days-of-ML-Code - LOG

## Day 0 : July 06 , 2018

**Today's Progress** : I already started to learn ML.Today I learnt Decision Trees and Random Forest. Worked on [Predicting Who Pays Back Loans](https://www.kaggle.com/sarahvch/predicting-who-pays-back-loans)

**Thoughts** : Hope this will be exiciting ,will help me in learning Machine Learning in a more effective way .

**Link of Work:** [Commit](https://www.kaggle.com/karthickaravindan/decision-trees-and-random-forest)

## Day 1 : July 07 , 2018

**Today's Progress** :Studied support vector machines(SVM). Worked on [Iris Species](https://www.kaggle.com/uciml/iris)

**Thoughts** : Can't understand girdsearch properlly but tried to implement it.

**Link of Work:** [Commit](https://www.kaggle.com/karthickaravindan/support-vector-machines-project)

## Day 2 : July 08 , 2018

**Today's Progress** :Studied on K means algorithm.Understand the theory part behind it

**Thoughts** : More confident to work on dataset.

## Day 3 : July 09 , 2018

**Today's Progress** :Worked on K Means Algorithm and applied in a dataset. Worked on [U.S. News and World Report’s College Data](https://www.kaggle.com/flyingwombat/us-news-and-world-reports-college-data)

**Thoughts** : Understand clustering very well.Tomorrow going to work in PCA

**Link of Work:** [Commit](https://www.kaggle.com/karthickaravindan/k-means-clustering-project)

## Day 4 : July 10 , 2018

**Today's Progress** : Studied Principal component analysis (PCA). Registred Hackerearth challenge (Predict the damage to a building)

**Thoughts** : Understand the use of PCA.Tomorrow going to start NLP basic project (spam or not mail)

## Day 5 : July 11 , 2018

**Today's Progress** : Studied NLP. Expolred the dataset and done some basic dataset analysis.

**Thoughts** : Try to figure out which algorithm is best.

## Day 6 : July 12 , 2018

**Today's Progress** : Worked on [SpaceX Launch Data](https://www.kaggle.com/scoleman/spacex-launch-data)

**Thoughts** : This is a small dataset.So i just decided to understand the importance of data visualization. Without using the data visualization I tried to find insights in dataset.Hopefully I found two insights

**Link of Work:** [Commit](https://www.kaggle.com/karthickaravindan/without-data-visualization)

## Day 7 : July 13 , 2018

**Today's Progress** : Studied the basice of tensorflow.

**Thoughts** : Hope will explore a lot in that.

## Day 8 : July 16 , 2018

**Today's Progress** : Worked on MNIST Dataset

**Thoughts** : Want to understand more

## Day 9 : July 17 , 2018

**Today's Progress** : Worked on [Bank notes](https://www.kaggle.com/aariyan101/bank-notes).Used tensorflow DNN Classifier

**Thoughts** : Way to go in deep learning.

**Link of Work:** [Commit](https://www.kaggle.com/karthickaravindan/dnnclassifier)

## Day 10 : July 18 , 2018

**Today's Progress** : Started to learn Deep learning.Covered some basic theory.

**Thoughts** : Way to go in deep learning.

## Day 11 : July 19 , 2018

**Today's Progress** : Finace in AI,Studied basics of finanace.

**Thoughts** : New hights to go.

## Day 12 : July 19 , 2018

**Today's Progress** : How to do optimization?

**Thoughts** : clearly I have no idea how to do optimization

## Day 13 : July 20 , 2018

**Today's Progress** : Learnt Genectic Algorithm

**Thoughts** : How to apply in Finanace dataset.

## Day 14 : July 21 , 2018

**Today's Progress** : QuantConnect platform.Tried to do backtesting on it.

**Thoughts** : Its is very challenging to do optimization.

## Day 15 : July 23 , 2018

**Today's Progress** : Learnt basics of Neural Network.

**Thoughts** : Cant understand the Label Encoder and one-Hot Encoder.

## Day 16 : July 24 , 2018

**Today's Progress** : Used Posenet Model. Thanks to siraj for the video.

**Thoughts** : It is super cool to see the result.

**Link of Work:** [Commit](https://www.linkedin.com/feed/update/urn:li:activity:6427348565911269376)

## Day 17 : July 25 , 2018

**Today's Progress** : Studied UI path for webscarping

**Thoughts** : Its is very challenge.

## Day 18 : July 26 , 2018

**Today's Progress** : Tried to automation on website.

**Thoughts** : Better to understand.

## Day 19 : July 27 , 2018

**Today's Progress** : Studied multinomial naive bayes.

**Thoughts** : Will work on Text classification.

## Day 20 : July 28 , 2018

**Today's Progress** : Learnt Colab research tool.

**Thoughts** : It is awsome tool to use.

## Day 21 : July 30 , 2018

**Today's Progress** : Made a mode in multinomial naive bayes for text classification using colab.

**Thoughts** : Very challenge to download model using google drive.

**Link of Work:** [Commit](https://github.com/12345k/100-Days-of-ML-Code/blob/master/text_classification_1.ipynb)

## Day 22 : July 31 , 2018

**Today's Progress** : Deployed this model in website.

**Thoughts** : It is cool to see the outpuut in web application

**Link of Work:** [Commit]( http://52.45.171.205:3500)

## Day 23 : August 1 , 2018

**Today's Progress** : Studied baics of opencv.

**Thoughts** : Planning to make more apps on that

## Day 24 : August 2 , 2018

**Today's Progress** : Saw a amzeing website pyimage search.

**Thoughts** : I will share the link below

**Link of Work:** [Commit]( https://www.pyimagesearch.com/)

## Day 25 : August 5 , 2018

**Today's Progress** : Praticed some tutorials .

**Thoughts** : Intersting to learn

## Day 26 : August 6 , 2018

**Today's Progress** : Made a object tracking using opencv .

**Thoughts** : creditsa goes to pyimage search