2021 Data Science/MachineLearning Project Deployment Mastery

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + .srt | Duration: 156 lectures (31 个章节 • 163 个讲座 • 总时长 47 小时 39 分钟) | Size: 22.1 GB

Learn Data Science/ML with Practical Hands-On Projects and Deployment. (Flask,Heroku,AWS,Google Cloud,Microsoft Azure) What you'll learn:Master Machine Learning With PythonLearn Through More Than 20+ Projects and AssignmentsLearn How to Deploy Machine Learning ModelsPractical Hands-On Data Science Projects MasteryBuild And Deploy On Flask, Heroku, Streamlit, AWS,Google Cloud, Microsoft AzureCreate Robust Machine Learning ModelsLearn Different Machine Learning Algorithms such as Linear And Logistic regression, Naive Bayes,KNN,SVM,K-means, etc.Deal With Data Imbalance (Upsampling/Downsampling/SMOTE)Beginner To AdvanceGain Confidence In Performing Exploratory Data Analysis (EDA)Choose The Right Machine Learning Model For Your Problem StatementAccess To Exclusive Community To Learn With Others And Answer Your QueriesLearn The Necessary StatisticsMaster Data AnalysisRequirementsThis course is a beginner to advance level course with all the tutorials on the lessons covered in the projects includedIf you are a complete beginner, you have all the lessons from introduction to python to building projects and deployment.If you already have have the basics, we have more than 20 projects and deployment for you to practice.DescriptionInterested in the field of Data Science and Machine Learning?Interested in Building Data Science and Machine Learning Projects and Deploy on Platforms such as AWS, Google Cloud, Microsoft Azure, Heroku, Flask, Streamlit?Interested in learning it the practical way?Then this course is for you!!This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands-on projects throughout the course.This course will help you learn complex Data Science concepts and machine learning algorithms the practical way for easier understanding.We will walk you through step-by-step on each topic explaining each line of code for your understanding.There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.We have structured the course in this way:Python For Data ScienceStatistics For Data ScienceMachine LearningHands-on projects on each topicProjects Deployment TutorialStreamlit project tutorialFlask deployment project tutorialHeroku deployment project tutorialGoogle cloud deployment project tutorialAWS deployment project tutorialMicrosoft Azure deployment project tutorialThis course aims to help beginners, as well as intermediate data science enthusiasts, learn both the concepts while practicing on the projects to gain a better understanding of the course.Who this course is forAnyone interested in Data Science and Machine Learning.Anyone who wants to Build And Deploy machine learning models on Flask, Heroku, AWS,Google Cloud, Microsoft AzureAny student interested in a career in Data Science and Machine LearningAny beginner level interested to kick-start their career in Data Science and Machine
 LearningAny intermediate level learner who know the basics of python, statistics, machine
 Learning and want to learn more about itAnyone not that comfortable with coding but interested in Data Science and
 Machine Learning and want to easily understand the conceptsAny data analysts who want to transition to Data Science and Machine LearningAny Business Analysts who want to transition to Data Science and Machine
 LearningAnyone not satisfied with their job and looking for a career transition to become a
 Data Scientist.Anyone who wants to leverage the power of data in his case scenario.Any curious mind