nickbiso Goto Github PK

algorithms-visualization

Visualize common algorithms using python

amazon-sagemaker-custom-recommender-system

ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

coursera-exploratory-data-analysis-courseproject

initial git

coursera-getting-and-cleaning-data-project

This is my course project for coursera's getting and cleaning data course

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

The Data Scientist’s Toolbox Homework

datasharing

The Leek group guide to data sharing

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

fbprophet_cryptocurrency

huggingface-course

The Hugging Face course on Transformers

keras---fully-connected--rnn--lstm---gru-

keras-caltech-256

257-way Image Classification using Fully Connected Neural Network, Convolutional Neural Network built from scratch and Transfer Learning

keras-class-activation-map

Class Activation Map using Keras

keras-log-reg-vs-nn

keras-sentiment-prediction-imdb-movie-reviews

keras-text-generation

neural-network-with-numpy

This is a project that showcases my knowledge with Neural Networks. For me to illustrate this I will be only using the Numpy package in python and no machine learning packages. The neural network will have an adjustable number of layers and nodes. The activation function per layer can also be changed from either relu, sigmoid or tanh. I will be using a the MNIST dataset and predict whether the image is the number one (1) or it is a different digit (0,2,3,4,5,6,7,8,9) in which it will be labeled as zero (0). I got the MNIST dataset from kaggle so, it might no longer be the original.

neural-networks-with-numpy-ii

Added features such as Initialization, Regularization, Optimization, Mini-Batches, etc.

nickbiso.github.io

nlp-analogies

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r-predicting-house-prices-

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

sklearn-50k-salary-prediction

Predicting salaries using machine learning

skopt

Hyperparameter Optimization Using Sci-kit Optimization

spark-machine-learning-basics

Spark Machine Learning Basics

sushi-go-round-bot

Sushi go round bot created using python pyautogui

temporal-variables

Temporal Variables for time series forecasting

test