Machine Learning with Python: COMPLETE COURSE FOR BEGINNERS
Price: 19.99$
Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too! Machine Learning (Complete course Overview)Foundations Introduction to Machine Learning Intro Application of machine learning in different fields. Advantage of using Python libraries. (Python for machine learning). Python for AI & MLPython Basics Python functions, packages, and routines. Working with Data structure, arrays, vectors & data frames. (Intro Based with some examples)Jupyter notebook- installation & function Pandas, Num Py, Matplotib, Seaborn Applied Stastistics Descriptive statistics Probability & Conditional Probability Hypothesis Testing Inferential Statistics Probability distributions Types of distribution Binomial, Poisson & Normal distribution Machine Learning Supervised Learning Multiple variable Linear regression Regression Introduction to Regression Simple linear regression Model Evaluation in Regression Models Evaluation Metrics in Regression Models Multiple Linear Regression Non-Linear Regression Nave bayes classifiers Multiple regression K-NN classification Support vector machines Unsupervised Learning Intro to Clustering K-means clustering High-dimensional clustering Hierarchical clustering Dimension Reduction-PCAClassification Introduction to Classification K-Nearest Neighbours Evaluation Metrics in Classification Introduction to decision tress Building Decision Tress Into Logistic regression Logistic regression vs Linear Regression Logistic Regression training Support vector machine Ensemble Techniques Decision Trees Bagging Random Forests Boosting Featurization, Model selection & Tuning Feature engineering Model performance ML pipeline Grid search CVK fold cross-validation Model selection and tuning Regularising Linear models Bootstrap sampling Randomized search CVRecommendation Systems Introduction to recommendation systems Popularity based model Hybrid models Content based recommendation system Collaborative filtering Additional Modules EDAPandas-profiling library Time series forecasting ARIMA Approach Model Deployment Kubernetes Capstone Project If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry – and prepare you for a move into this hot career path. Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. Its then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won’t find academic, deeply mathematical coverage of these algorithms in this course – the focus is on practical understanding and application of them. At the end, you’ll be given a final project to apply what you’ve learned! Our Learner’s Review: Excellent course. Precise and well-organized presentation. The complete course is filled with a lot of learning not only theoretical but also practical examples. Mr. Risabh is kind enough to share his practical experiences and actual problems faced by data scientists/ML engineers. The topic of “The ethics of deep learning” is really a gold nugget that everyone must follow. Thank you, 1st Mentor and Self Code Academy for this wonderful course.
check my.vehicle
What I couldnt give to learn how you got your design to be so crazy! I mean it. Besides the blog just being awesome, this page is too sweet! Its not too flashy. It doesnt do too much with colours and things and the videos you use are perfect for this topic! Really, awesome blog.
jaguar fixed price service
Incredibly easily, the article is in reality the sweetest on this laudable topic. I agree with your conclusions and definitely will eagerly look forward to your approaching updates. Simply just saying thanks definitely will not simply be sufficient, for the enormous lucidity in your writing. I can promptly grab your rss feed to stay privy of any kind of updates. Nice work and also much success in your business efforts!
import vehicles
Sweet website , super pattern , rattling clean and use friendly .