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1. Decision-Trees-and-Random-ForestDecision-Trees-and-Random-ForestPublic

   Decision Trees and Random Forest Project: Predicting Potential Customers. Analyze and build a ML model to help identify which leads are more likely to convert to paid customers. Find the factors dr…

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2. Deep-Learning-Artificial-Neural-NetworkDeep-Learning-Artificial-Neural-NetworkPublic

   The main objective is to build a feed-forward neural network model that can recognize the digits in the images.

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3. Deep-Learning-Convolutional-Neural-NetworkDeep-Learning-Convolutional-Neural-NetworkPublic

   Build a CNN model that can recognize the digits in the images using the Street View Housing Number Digit Recognition.

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4. KMeans-GaussianMM-and-KMedoidsKMeans-GaussianMM-and-KMedoidsPublic

   Using the credit card customer base dataset, identify different segments in the existing customer base, taking into account their spending patterns as well as past interactions with the bank.

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5. Linear-Regression-and-Cross-ValidationLinear-Regression-and-Cross-ValidationPublic

   Predict the housing prices of a town or a suburb based on the features of the locality provided. Identify the most important features affecting the price of the house. Employ techniques of data pre…

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6. Music-Recommendation-SystemMusic-Recommendation-SystemPublic

   Build a recommendation system to propose the top 10 songs for a user based on the likelihood of listening to those songs.

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