Build 2 complete projects start to finish -- with each step explained thoroughly by instructor Nimish Narang from Mammoth Interactive. Hands-On Neural Networks: Build Machine Learning Models was funded by a #1 project on Kickstarter Nimish is our cross-platform developer and has created over 20 other courses specializing in machine learning, Java, Android, SpriteKit, iOS and Core Image for Mammoth Interactive. When he's not developing, Nimish likes to play guitar, go to the gym and laze around at the beach. Project #1 -- Learn to construct a model for credit card fraud detection. Our model will take in a list of transactions , some fraudulent and some legitimate. It will output the percentage at which it can calculate fraudulence and legitimacy , how accurate it is. We will also modify the model so that it output whether a specific transaction is fraudulent or legitimate if we pass them in one by one. We will explore a dataset so that you fully understand it, and we will work on it. It's actually pretty hard to find a dataset of fraudulent/legitimate credit card transactions, but we at Mammoth Interactive have found everything for you and curated a step by step curriculum so that you can build alongside us. We will manipulate the dataset so that it will be easy to feed into our model. We will build a computational graph with nodes and functions to run input through the mini neural network . Machine Learning Projects Using Tensorflow -- Mammoth Interactive Project #2 -- Learn to build a simple stock market prediction model that will predict whether the price stock will go up or down the next morning based on the amount of volume exchange for a given day Any kind of global event can completely affect how stock prices fluctuate. As such we will build a simple model that only take in the volume exchange for a particular day and will only be used for day trading -- choosing whether to buy or sell at the end of the day. It is short term prediction . We will NOT build a huge neural network that takes in thousands of data points and hours to train. We will build a simple model for you to expand upon. You will learn how to go through building a Tensorflow project and how you would get started with a stock prediction task. You will get a solid base that you can expand upon. We will take previous stock data from the Investing site. Included are 8 CSV sheets for you to use to train and test your model for four different stocks. Enroll now in Hands-On Neural Networks: Build Machine Learning Models with Mammoth Interactive

Master oracle utilities with very simple practice exercise which helps you to move data between two oracle databases. Learn how to use oracle utilities to perform data import export into different databases. Perform entire database, single table or schema level export and import into another Oracle database Perform table, schema, row level export using traditional Export Import utility Perform table, schema,row level import using traditional Export Import utility Perform CSV file import into Oracle database using SLQ * Loader Perform table, schema, row level export using Oracle Data Pump Export utility Perform table, schema, row level import using Oracle Data Pump Import utility Create Oracle Data Pump directory to perform Export and Import Oracle Data Pump enables very high speed data movement from one database to another In general, DBA has to perform data Export and Import in real-time environment in order duplicate table or schema from one database to another. Oracle provides utilities in order to easily move data between two oracle databases. With over 9 lectures, 6 hands on lab activities and 1.5 hrs of video content, you will learn: How to invoke oracle utilities How to get help for any type of oracle utilities How to import a CSV format file inside Oracle database table How to create SQL * Loader Control File for CSV import How to perform a small table, schema or specific row export using Export Import utility How to perform import of same using Export Import utility How to create Data Pump directory both at OS level and Database level How to perform data Export and Import using high performance Data pump utility By completing Lab Activities, you will be able to work along with the author and learn Oracle Utilities. You can even download lab activities files and practice on your test machine at home.

Audit logs track field and record modifications so changes can be rolled-back or forward. In FileMaker, changes can be tracked many ways, each with it's own advantages and disadvantages. We'll walk you through every technique out there in the FileMaker world and talk about when to use each solution. By the time you're done, you'll have learned tons about scripting, calculations and relational design. Before starting this course, make sure you are at an intermediate programming level for FileMaker which includes familiarity with scripting, calculations and relational design.

MongoDB is a very popular open source cross-platform document-oriented database program. This comprehensive tutorial is your one-stop guide to all the aspects of MongoDB administration. You will start with jumping into the configuration, indexing and aggregation aspects of MongoDB. You’ll also see how you can optimize your query performance. Later, we’ll explore the core administration tasks such as deployment, replication, sharding, and application. This course will equip you with all the skills you need to manage a highly efficient database. About the Author Jayant Mohite has been a Big Data Consultant for the last seven years and has delivered training and support to more than 40 companies including top ones such as TCS, Synechron, PWC, SAP, HP and Vodafone. He is a trainer and consultant in his own Training & Development Platform. He has been associated with MongoDB as their official technology partner. He is also a reseller partner for IBM has worked on more than 8 projects on MongoDB. He has worked with HP as an author of Big Data Book for Micro Focus.

This course is targeted for people who would like to take Oracle DBA as their career. This course talks about: Oracle DBA Career Expectations from an Oracle DBA Different levels of Oracle DBA What is the Oracle DBA interview pattern Preparing an excellent Oracle DBA resume DBA Genesis provides free mock interviews and resume preparation services online.

LAST UPDATED: November 2020 (Source Code Included for Lectures) Get ready to acquire some seriously marketable programming skills! You can't consider yourself a complete end to end developer until you can code in SQL. Today, data has become the hottest topic in technology and a company's biggest asset is their data. All databases require the language SQL to store and retrieve data. Salaries for junior level SQL Developers are upwards of $70,000 - $90,000 dollars a year! The great thing is, for this course, you do not need any prior experience in programming what so ever. SQL is a different animal and we're going to demystify the language from scratch and prepare you with plenty of progressively challenging assignments so that by the time you've completed the course (in 2 months), you can call your self an Oracle SQL Master! Oracle is the most popular relational database in the world! This course will prepare you to be job-ready in just 1 month of study and practice. All exercises and solutions are in the lectures. In several lectures I ask students to pause the video and complete the assignment before resuming to watch my solution. MAKE SURE YOU WORK OUT THE PROBLEMS ON YOUR OWN BEFORE MOVING ON TO MY SOLUTION!! With over 62,000 enrolled students and a 4.5 star-rating, this is a Udemy best-selling course. Do you have no prior experience in SQL development? This course is perfect for you. Don't take it from me, take it from actual students that took this course: " I am a beginner and the way this course starts is perfect for the person who has no introduction of SQL or Oracle." Do you have prior experience, but need a refresher or to fine-tune your skills? This is the course for you. Again, I'll let my students do the talking: " I had a good base of knowledge from my last employment. This course is constantly proving useful to supercharge my actual knowledge base . Very good one! " Have you taken a SQL course before, but felt confused on certain topics or not completely satisfied in your abilities? A lot of my students had shared similar concerns: " I had previously taken a college course about databases and SQL, but these ten hours of content were more clear and useful than the course and textbook." Topics covered in this course : Basics of Tables SELECT and WHERE Clause WHERE, AND & OR with Operators BETWEEN, IN and NULL Single Table Queries Single Row Functions Grouping Functions GROUP BY and HAVING Clause Joins Inner and Outer Joins EXISTS & NOT EXIST Operators Creating Your Own Tables Using ALTER Creating Tables with SELECT & UPDATE Data DELETE, TRUNCATE, and DROP Commands System Tables, Pseudo Columns & Deleting Duplicates (Newly Added) Views and Other Objects and Commands (Newly Added)

Welcome to Natural Language Processing (NLP) Interview Test Series We have created these real-time full practice tests based on our real interview experience. With the help of these practice test you would be able to clear your NLP interview in first attempt. This is the most comprehensive Test Series online to help you ace your Data Science/Natural Language Processing interviews!

New! Updated for Spark 3, more hands-on exercises, and a stronger focus on DataFrames and Structured Streaming. “Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think. Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of Spark's DataFrames and Resilient Distributed Datastores Develop and run Spark jobs quickly using Python Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information – in the cloud – in a matter of minutes. This course uses the familiar Python programming language ; if you'd rather use Scala to get the best performance out of Spark, see my "Apache Spark with Scala - Hands On with Big Data" course instead. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most “popular" superhero is – and develop a system to find “degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together – both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 7 hours of video content is included, with over 20 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now! " I studied "Taming Big Data with Apache Spark and Python" with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course!  " - Cleuton Sampaio De Melo Jr.

MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs. We need to discuss database schemas. Yes, MongoDB is touted as schema-less but here's where we show that proper design is what allows our collections to scale. Indexing is something everyone talks about, but few understand. We'll explain MongoDB indexing, and index properties because a successful indexing strategy is a key to performance and scaling. Finally, we'll talk about CRUD commands from the MongoDB client and how to write effective queries. Taking this course will help you understand supported standards and data types in MongoDB, and best practices to design collections to scale and index them. Also, you will learn some basic CRUD commands. About the Author Micheal Shallop started programming in 1981 on a Tandy TRS-80 Model 1 and hasn't stopped since. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, he's coded in many programming languages and has used a variety of databases, relational and otherwise. He was the technical author of a patent awarded in 2011 for his work on real-time data collection, aggregation and forecasting in a conventional (automotive) business. He is currently working for designing and writing a back-end, event-driven, object-oriented, data-agnostic framework utilizing AMQP as the data transport vector and PHP 7.1 as the primary language. He has been programming in PHP for MongoDB since 2010 and has been the architect of several systems, mostly back-end frameworks. Micheal is interested in anything with a programming language behind it. Most recently, he has been experimenting with Arduino, programming on the Raspberry Pi, and writing a social media site in Python. He is also technically skilled in RabbitMQ, general database tech, Python, C/C++, Linux

This Oracle 11g video based training course from Infinite Skills will teach you the basics of operating an Oracle Database server and environment. You will also discover the basics of how to manage and develop for an Oracle Database, and administer one. This tutorial is designed for the beginner. This training will teach you the basics of what it means to administer an Oracle Database. Throughout the training, you will be able to better understand the path you can continue on from here, whether that is to become a DBA, developer or administrator of Oracle Databases. You will learn about processes and architectural concepts of a database. This video training also covers topics such as storage, data modelling, basic SQL, database tasks, and how all of these apply specifically to Oracle Databases. By the completion of this video tutorial, you will have a fundamental understanding of how an Oracle Database server and environment function, as well as how database concepts apply specifically to an Oracle Database. Working files are included to assist you as you work through this computer software training course.