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Methods_For_Dimensionality_Reduction
Conversion-from-Text-to-speech
Heart-disease-prediction-through-different-ML-algorithms
This is a simple Heart disease prediction with 6 different algorithms. The main aim of this is to analyze that which algorithm is best and suitable for this dataset to predict.RegularizationOfLinearModels
Regularization of Linear Models with SKLearnSimple-Notepad-in--Java
I just created this simple notepad in Java to learn, explore and implement the Java programming. :)Metro-bus-Ticket-Reservation-System
Conversion-from-Video-to-Image
10_Different_Datasets_For_Practice_ML
Here are 10 different datasets available globally for the practice of data analysis and machine learning.Data-Scraping-Projects
These Data Scraping projects are used for educational purpose only, not for commercial use.E-commerce_web
Created an E-commerce web as a semester project of "web engineering" in my 6th semester. :)ODI_CRICKET_MATCH_PREDICTION
ODI Cricket Match predictionData_Normalization-Standardization
Data Normalization Normalization refers to rescaling real valued numeric attributes into the range 0 and 1. Data Standardization Standardization refers to shifting the distribution of each attribute to have a mean of zero and a standard deviation of one (unit variance).Purchase_data_to_find_hidden_patterns
This is the dataset from a small online store (E-Commerce products) with customer purchase data in November 2018 for the analysis and to find hidden patterns and specific user behaviors within this dataset. The data include columns: [date, customer_id, product_category, payment_method, value, time_on_site, clicks_in_site] *Notes: * β Product_category is an id for a category of products (for example clothing, gadgetsβ¦). β Each row is a cart (1-many items) for a customer. assume customers purchase from a single category each time. β Payment_method can be credit card or Paypal β Value is the total value for the cart (can include any number of items) time_on_site is in minutesHow_to_reduce_memory_size_of_large_datasets
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