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Grammar #7

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2 changes: 1 addition & 1 deletion FaceRecognition/README.md
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## Face Recognition

Modern face recognition with deep learning and HOG algorithm.
This project undertakes- Modern face recognition with deep learning and HOG algorithm.

1. Find faces in image (HOG Algorithm)
2. Affine Transformations (Face alignment using an ensemble of regression
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4 changes: 3 additions & 1 deletion KaggleTitanic/README.md
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## Titanic: Machine Learning from Disaster

The Titanic challenge on Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat.
The Titanic challenge on Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat.

There is a sample submission on the home page where it has been assumed that all the females survived and the men died.. While this is too good to be true, the accuracy of this prediction was 0.77 , and if you look online you would find that you can tweak up your accuracy by knowning that the richer survived more and also the younger survived more and also the females did survive more ofcourse excluding the exceptions........
2 changes: 1 addition & 1 deletion README.md
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# Online-Challenge
Challenge submitted on HackerRank and Kaggle.
This is an online Challenge submitted on HackerRank and Kaggle.

Algorithm challenges are made on HackerRank using Python.

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