Learning to create Machine Learning Algorithms
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Updated
Jun 15, 2021 - Python
Learning to create Machine Learning Algorithms
Multi-class classification model for predicting the types of crimes in Toronto
This repo is created to perform I/O Request Packet (IRP) driven ransomware analysis where the IRP logs were collected during ransomware execution.
Codes and templates for ML algorithms created, modified and optimized in Python and R.
Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.
Templates in python and R for Data preprocessing , different Regression ,classification and clustering models . Template for Association rule learning , Reinforcement learning , Natural language processing , Deep learning etc.
Weather image classification using convolutional neural networks.
Hate-speech and offensive language detection model using various Machine Learning and NLP techniques and labeled Twitter data
A simple example of a machine learning library for land-cover classification
In this project we will try to predict if the person has diabetes has or not.
Modèles de classification binaire.
A machine learning script that uses KNN, Naive Bayes, Decision Trees, and Random Forests classification algorithms to predict a person's salary.
Extracting Hist Features to do Image Classification using Decision Tree or Random Forest or Adaboost
Tensorflow deep learning model serving using flask. The template is simple as main concern is building the web app. Template making quite easy than serving,it shows all the steps needed to linking the model with our web application.
In this project, we embark on an exciting journey to explore and analyze customer churn within the Telecom network service using the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework.
Data Science Case Study
e-Portfolio showcasing my personal projects.
Trabajo Práctico de I.A para clasificar dataset Sonar.csv con distintos modelos usando scikit-learn. NB, KNN, Regresión Logística, Árbol de Decisión
My mini-projects for practical learning machine learning course on the Udacity
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