Luigi's repositories
Customer_Churn_Feature_Selection
Feature selection on telecommunication company to predict when its customers will leave for a competitor.
ApacheSpark_for_ML_on_Big_Data
Apache Spark for Scalable Machine Learning on BigData. In this exercise we’ll apply the basics of functional and parallel programming.
terraform-associate
terraform associate project
Code_retrieve
Retrieve information relating to sports
Coursera_classification_capstone
We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithm on the data.
Custom_Train_MaskRCNN
Training on custom dataset with (multi/unique class) of a Mask RCNN
Data_science_test
Practice Data Science Test
Decision_trees
We will use this classification algorithm to build a model from historical data of patients, and their respond to different medications.
Hierarchical_Clustering
Hierarchical Clustering with Python using Scipy and Scikit-learn package.
k-Means_clustering
We use k-Means for customer segmentation.
K-Nearest_Neighbors
We use K-Nearest Neighbors to predict a data point.
Logistic_regression
We create a model using Log_reg for a telecommunication company to predict when its customers will leave for a competitor.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Pytorch_1-D_tensors
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_2-D_tensors
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_derivatives
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_img_datasets_transforms
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Linea_regression_prediction
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Linear_regression
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Linear_regression_multi-target
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Logistic_Regression
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Multiple_linear_regression
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_simple_dataset
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Softmax
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
PyTorch_Training-Validation
Practice using PyTorch: a Python-based scientific computing package using GPU's power.
SecLists
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
Support_Vector_Machines
We will use SVM (Support Vector Machines) to build and train a model using human cell records, and classify cells to whether the samples are benign or malignant.
winutils
winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows