Instructional Material
Natural Language Processing Real-World Projects in Python ($19.99 to FREE)
Are you looking to land a top-paying job in Data Science, AI & Natural Language Processing? Or are you a seasoned AI practitioner who want to take your career to the next level? Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence? If the answer is yes to any of these questions, then this course is for you! Data Science is one of the hottest tech fields to be in right now!
Getting started with Arduino Nano 33 BLE Machine Learning and Edge Impulse: Keywords detection
In this tutorial, we want to cover how to get started with Arduino Nano 33 BLE Machine Learning using Edge Impulse. We want to spot some basic keywords using machine learning and Arduino. In this tutorial, we will create a custom dataset using Edge Impulse to collect data. At the end of this post, you will be able to deploy a machine learning model on your Arduino Nano 33 BLE. It can spot some custom keywords such as color names so that we can control an RGB WS2812 strip using voice commands.
Machine Learning & Data Science with Python
Machine learning is constantly being applied to new industries and new problems. Whether you're a marketer, video game designer, or programmer, my course on Udemy here to help you apply machine learning to your work. Welcome to the "Complete Machine Learning & Data Science with Python A-Z" course. Do you know data science needs will create 11.5 million job openings by 2026? Do you know the average salary is $100.000 for data science careers!
Financial Engineering and Artificial Intelligence in Python
Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering? Today, you can stop imagining, and start doing. This course will teach you the core fundamentals of financial engineering, with a machine learning twist. We will learn about the greatest flub made in the past decade by marketers posing as "machine learning experts" who promise to teach unsuspecting students how to "predict stock prices with LSTMs". You will learn exactly why their methodology is fundamentally flawed and why their results are complete nonsense.
Statistics Fundamentals (7/9) Hypothesis Testing
Statistics Fundamentals (7/9) Hypothesis Testing Statistical Hypothesis Testing: Theory and Python Welcome to Statistics Fundamentals 7, Hypothesis Testing. This course is for beginners who are interested in statistical analysis. Description Welcome to Statistics Fundamentals 7, Hypothesis Testing. This course is for beginners who are interested in statistical analysis. And anyone who is not a beginner but wants to go over from the basics is also welcome!
Numpy - the complete guide
Numpy - the complete guide master the Numpy library of Python Welcome to the most comprehensive course on the NumPy library of Python! This complete guide on Numpy helps you take your Python skills ... Instructor: Anup Shukla Web & Application Developer Project Manager What you'll learn Description Welcome to the most comprehensive course on the NumPy library of Python! This complete guide on Numpy helps you take your Python skills to the next level. At the end of the course, you shall have gained enough expertise in the Numpy library so as to venture into the field of data driven technologies which are hot and trending - data science, data analysis, and machine learning. Numpy, or Numerical Python, works under the hood; is the backbone of many other Python libraries.
Complete Time Series Data Analysis Bootcamp In R
Link: Complete Time Series Data Analysis Bootcamp In R Learn How To Work With Time Series/Temporal Data Using Statistical Modelling & Machine Learning Techniques In R. HIGHEST RATED 4.6 (150 ratings) 1,232 students enrolled What you'll learn Implement Common Data Cleaning And Visualization Techniques In R Be Able To Read In, Pre-process & Visualize Time Series Data The Basic Conditions Time Series Data Must Fulfill & How To Check For These Model Time Series Data To Forecast Future Values Use Machine Learning Regression For Forecasting Future Values Detect Sudden Changes In The Values During A Given Time Period Requirements Prior Familiarity With The Interface Of R & R Studio Prior Experience Of Applying Basic Statistical Techniques (Such As The Calculation Of Averages) To Data Be Able To Carry Out Data Reading And Pre-Processing Tasks Such As Visualization In R Interest In Working With Time Series Data Or Data With A Time Component To Them THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN R! This course is your complete guide to time series analysis using R. So, all the main aspects of analyzing temporal data will be covered n depth.. If you take this course, you can do away with taking other courses or buying books on R based data analysis. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in in analyzing time series data in R, you can give your company a competitive edge and boost your career to the next level. LEARN FROM AN EXPERT DATA SCIENTIST WITH 5 YEARS OF EXPERIENCE: Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate.
Master Data Science with Python in 10 Hours
With this course, you will learn the basics of Python and its most popular libraries for Data Science such as Numpy, Pandas, Matplotlib, Seaborn. You will learn all the important tools and knowledge for Data Science with more than 60 lectures, practice all your new skills with 4 big exercises sections, including more than 85 exercise questions and you will do all of this using one of the most popular programming languages: PYTHON! Data pre-processing is a very important stage of the work flow of Machine Learning. With this course, you will learn how to import, check, clean data in terms of data pre-processing for Machine Learning, also visualize data and communicate your results using impressive plots. This course will help you jump start your career or take your first big step into the world of Data Science and Machine Learning which are very popular fields with many attractive job opportunities!
5 Online Courses I Took as a Self-Taught Data Scientist
I can't stress this enough: If you haven't already taken a machine learning course, take this one. This is the first online course I ever took, and it's the reason that 746,000 other students and I are in data science today. The course was created by data scientist Kirill Eremenko. What's better than his soothing voice is the actual material. Kirill teaches you all the knowledge you need to have a basic understanding of some of the most powerful and useful machine learning models. This includes models in regression, classification, clustering, reinforcement learning, natural language processing, and deep learning.
Learn AI Programming with Python
AI-powered increases in safety, productivity, and efficiency are already improving our world, and the best is yet to come! As it becomes increasingly evident how impactful AI can be, demand for employees with AI skills increases--demand is in fact already skyrocketing. The AI Programming with Python Nanodegree program makes it easy to learn the in-demand skills employers are looking for. You'll learn foundational AI programming tools (Python, NumPy, PyTorch) and the essential math skills (linear algebra and calculus) that will enable you to start building your own AI applications in just three months. Whether you're seeking a full-time role in an AI-related field, want to start applying AI solutions in your current role, or simply want to start learning the defining technology of our time, this is the perfect place to get started.