handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

heart_desease_detector

hybrid-ar-lstm-model-for-prediction-of-birth

Although ARIMA, AR essentially for linear update models plus some noise thrown in and LSTM essentially for a nonlinear time series model are well known in the literature we have applied them in the data. Based on the fact that the LSTM outperforms the AR then the AR outperform the ARIMA according to their results, we have came with an idea of combining the two best models AR and LSTM in single architecture that that will take advantage of the two models and capture linear and nonlinear phenomena because it has both linear and nonlinear modeling capabilities.

hybrid_ml_model

Implements hybrid predictive model from Tong Wang (ICML 2019)

hyperparameter-optimization

Using KerasClassifier and GridSearchCV to improve the accuracy of the Convolutional Neural Network.

identifying_wnv_locations-raw_repo-

The official repo for Project 4, DSI (Team Members: April Griffin, Garth Hogan, Ryan Stewart, Suzanne McGann)

image_food_classification

Deep Learning for Image-based Food Classification

imagery_analytics_geosatellite_data

Geotiff python analytics to compute NDVI (normalized difference vegetation index)

imdb-database-management-system

All eight datasets is contained in a gzipped, tab-separated-values (TSV) formatted file in the UTF-8 character set. The first line in each file contains headers that describe what is in each column. A ‘\N’ is used to denote that a particular field is missing or null for that title/name.

incremental_training

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

instance-identification

Instance Identification on ImageNet VID using triplet loss and online triplet mining.

interview-question-data-science-

isavewater

A repository for the IoT Irrigation project

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kafka-ml

Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)

kaggle-fish-classification

Deep learning fish classifier for https://www.kaggle.com/c/the-nature-conservancy-fisheries-monitoring

kaggle-ottogroupproduct-classification-challenge

LogisticRegressionCV / SVC+GridSearchCV / Xgboost / LightGBM

keras-mnist-tutorial

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

kerasclassifier-using-gridsearch

KerasClassifier using Gridsearch

kotlin-mvvm-app-retrofit

An App using MVVM and Retrofit with Kotlin

kriging

lab_5_vegetation_recovery_after_wildfire

Read in DEM as numpy array and use functions provided to calculate slope and aspect, calculate normalized difference vegetation index (NDVI) of Landsat images, calculate recovery index, calculate recovery ratio, write function that calculates zonal statistics mean, min, max, standard deviation, and count, calculate coefficient of recovery for each terrain slope class and each aspect (cardinal directions), export coefficient array as a geotiff

landsurfacet_ndvi_brightnesst_landsat_images-

Top of atmosphere (TOA), land surface temperature (LST), NDVI, and Brightness Temperature (BT) reflectance

landuse

Land use determination and urbanization over time from landsat images

lasso_ridge

Lasso and ridge regression

lcl_extract_data_from_pdf

The goal of this repo is to purpose a python script to extract a tabular dataset from unstructured pdf from LCL.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

linear-algebra

Linear Algebra

linear-regression

model linear regression with my own dataframe

loan_id

Loan_Id data analyse,data exploration, predictive analyst and machine leaning