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1. Decision-Trees-and-Random-Forest Decision-Trees-and-Random-Forest Public

   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-Network Deep-Learning-Artificial-Neural-Network Public

   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-Network Deep-Learning-Convolutional-Neural-Network Public

   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-KMedoids KMeans-GaussianMM-and-KMedoids Public

   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-Validation Linear-Regression-and-Cross-Validation Public

   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-System Music-Recommendation-System Public

   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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