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1. Random-Forrest-and-GBDT-implementation Random-Forrest-and-GBDT-implementation Public

   Apply both Random Forrest and GBDT on these feature sets Set 1: categorical(instead of one hot encoding, try response coding: use probability values), numerical features + project_title(BOW) + prep…

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2. Clsutering-__-Kmeans-Allagglomerative-hierarchical-clustering Clsutering-__-Kmeans-Allagglomerative-hierarchical-clustering Public

   step 1: Choose any vectorizer (data matrix) that you have worked in any of the assignments, and got the best AUC value. step 2: Choose any of the feature selection/reduction algorithms ex: selectkb…

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3. k-nearest-neighbors-KNN-algorithm- k-nearest-neighbors-KNN-algorithm- Public

   In the journey of exploring the flown of Data science and predictivemodeling, I explored this Very interesting algorithm k-nearest neighbors (KNN) algorithm.I have tried to leverage the ability of …

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4. Naive-Bayes-Algorithm-for-Classification-of-DonorsChoose Naive-Bayes-Algorithm-for-Classification-of-DonorsChoose Public

   In the journey of exploring the flied of Data science and predictivemodeling, I explored this Very interesting algorithm Naive Bayes algorithm. I havetried to leverage the ability of the Classifica…

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5. Self-Driving-cars Self-Driving-cars Public

   Self-Driving-Car Problem Definition We are here building a minimal version of self driving car. Here, we have a front camera view. This will transfer input to the computer. Then Deep Learning algor…

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6. machine-learning-for-software-engineers machine-learning-for-software-engineers Public

   Forked from ZuzooVn/machine-learning-for-software-engineers

   A complete daily plan for studying to become a machine learning engineer.

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