adityashah95 Goto Github PK

123

beginning-cpp-game-programming-second-edition

Beginning C++ Game Programming - Second Edition, published by Packt

building-a-trained-model

This module will cover the key stages involved in building a comprehensive program. It also explains how to build and save a model such that you get the same results every time it is run and call a saved model to use it for predictions on unseen data.

c-segmentation

clustering

This module covers the concept of clustering in machine learning. It explains three of the most common clustering algorithms, with a hands-on approximation to solve a real-life data problem. The three clustering algorithms covered are k-means, mean-shift and DBSCAN algorithms.

deep-neural-networks-with-keras

Experiment with Neural Network architectures to build and evaluate both single- and multi-layer sequential models in Keras

exploring-and-visualizing-data-with-python

Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.

front-end-development-projects-with-vue.js

Learn to build scalable web applications and dynamic user interfaces with Vue

hands-on-data-analysis-with-scala

Hands-On Data Analysis with Scala, published by Packt

improving-your-splunk-skills

Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights

introduction-to-artificial-neural-networks

This module describes a step-by-step method to solve a supervised learning classification problem using a neural network and analyzes the results of the neural network by performing error analysis.

introduction-to-devops-with-kubernetes

Build scalable cloud-native applications using DevOps patterns created with Kubernetes

introduction-to-machine-learning-with-keras

Get up-to-speed with the basics of Machine Learning

java-fundamentals

A fast-paced and pragmatic introduction to one of the world's most popular programming languages

key-concepts-of-supervised-learning

This module covers the main steps for working on a supervised machine learning problems, classification and regression. It will also cover how to effectively create unbiased models that perform well over unseen data.

machine-learning-with-aws

Learn how you can use the power of cloud services for your own machine learning and artificial intelligence projects

oauthlib

A generic, spec-compliant, thorough implementation of the OAuth request-signing logic

packt-workshop-2

Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

professional-azure-sql-database-administration

Equip yourself with the skills you need to manage and maintain your SQL databases on the Microsoft cloud

pybadges

A Python library for creating Github-style badges

python-gui-programming-a-complete-reference-guide

Develop responsive and powerful GUI applications with PyQt and Tkinter

shields

Concise, consistent, and legible badges in SVG and raster format

tableau-10-complete-reference

Transform your business with rich data visualizations and interactive dashboards with Tableau 10

the-applied-ai-and-natural-language-processing-with-aws

the-clojure-workshop

A New, Interactive Approach to Learning Clojure

the-cpp-workshop

the-deep-learning-with-keras-workshop

An Interactive Approach to Understanding Deep Learning with Keras

the-go-workshop

A comprehensive introduction to real-world Go using hands-on exercises.

the-machine-learning-workshop

An interactive approach to understanding Machine Learning using scikit-learn

the-php-workshop

Cut through the noise and get real results in this hands-on, step-by-step approach to learning PHP