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所在平台: Udemy |
课程主页: https://www.udemy.com/course/real-world-data-science-projects-using-python/
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课程名称：数据科学重大课程：120天内构建120个项目 课程概述：在本课程中，您将通过实践解决商业问题，学习如何构建和部署机器学习、数据科学、人工智能、自动化机器学习（Auto ML）、深度学习、自然语言处理（NLP）等Web应用项目。所用工具包括Python、Flask、Django、Heroku、AWS、Azure、GCP、IBM Watson和Streamlit Cloud。根据Glassdoor的数据，数据科学家的平均年薪为117,345美元，远高于全美平均薪资44,564美元。这使得数据科学成为一个非常有利可图的职业选择，尤其是在数据科学家稀缺的情况下，形成了巨大的收入泡沫。 数据科学要求从业者具备多方面的技能，如统计学、数学和计算机科学，因此学习曲线相对陡峭。数据科学家的市场价值很高，因为公司依赖他们的专业知识来做出数据驱动的决策，从而引导公司走向正确的方向。其具体角色通常取决于雇主公司的专业领域，例如商业行业需要数据科学家分析销售数据，而医疗行业则需要分析基因组序列。 数据科学家的薪水与他们的角色、工作类型和公司规模密切相关，通常远高于其他IT和管理职位。然而，数据科学是一项需要投入大量努力的工作，因此，数据科学家的薪资水平与他们的工作量成正比。由于众多吸引人的福利和现有的职位空缺，数据科学成为一个极具吸引力的领域。 在本课程中，我们将完成120个真实世界项目，内容涵盖从图像分类到自然语言处理、从健康数据分析到广告推荐等多个方向。其中包括： - 部署在Heroku的应用程序（如身份证套件检测、狗品种预测等） - 使用AWS、Azure、GCP等平台的机器学习项目（如流量标志分类、情感分析等） - 使用Flask、Django等框架构建的Web应用 此外，课程还建议您制定60天或120天的学习计划，每天花费1-3小时来完成这些项目。加入我们，成为数据科学家，开始新的职业生涯。抓住机会，立即报名，享受这门课程带来的丰厚回报！
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.This makes Data Science a highly lucrative career choice. It is mainly due to the dearth of Data Scientists resulting in a huge income bubble.Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics, and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.A Data Scientist enjoys a position of prestige in the company. The company relies on its expertise to make data-driven decisions and enable them to navigate in the right direction.Furthermore, the role of a Data Scientist depends on the specialization of his employer company. For example - A commercial industry will require a data scientist to analyze their sales.A healthcare company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.Still, the pay scale of Data scientists is way above other IT and management sectors. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.Due to several lucrative perks, Data Science is an attractive field. This, combined with the number of vacancies in Data Science makes it an untouched gold mine. Therefore, you should learn Data Science in order to enjoy a fruitful career.In This Course, We Are Going To Work On 120 Real World Projects Listed Below:Project-1: Pan Card Tempering Detector App -Deploy On HerokuProject-2: Dog breed prediction Flask AppProject-3: Image Watermarking App -Deploy On HerokuProject-4: Traffic sign classificationProject-5: Text Extraction From Images ApplicationProject-6: Plant Disease Prediction Streamlit AppProject-7: Vehicle Detection And Counting Flask AppProject-8: Create A Face Swapping Flask AppProject-9: Bird Species Prediction Flask AppProject-10: Intel Image Classification Flask AppProject-11: Language Translator App Using IBM Cloud Service -Deploy On HerokuProject-12: Predict Views On Advertisement Using IBM Watson -Deploy On HerokuProject-13: Laptop Price Predictor -Deploy On HerokuProject-14: WhatsApp Text Analyzer -Deploy On HerokuProject-15: Course Recommendation System -Deploy On HerokuProject-16: IPL Match Win Predictor -Deploy On HerokuProject-17: Body Fat Estimator App -Deploy On Microsoft AzureProject-18: Campus Placement Predictor App -Deploy On Microsoft AzureProject-19: Car Acceptability Predictor -Deploy On Google CloudProject-20: Book Genre Classification App -Deploy On Amazon Web ServicesProject 21: DNA classification for finding E.Coli - Deploy On AWSProject 22: Predict the next word in a sentence. - AWS - Deploy On AWSProject 23: Predict Next Sequence of numbers using LSTM - Deploy On AWSProject 24: Keyword Extraction from text using NLP - Deploy On AzureProject 25: Correcting wrong spellings - Deploy On AzureProject 26: Music popularity classification - Deploy On Google App EngineProject 27: Advertisement Classification - Deploy On Google App EngineProject 28: Image Digit Classification - Deploy On AWSProject 29: Emotion Recognition using Neural Network - Deploy On AWSProject 30: Breast cancer Classification - Deploy On AWSProject-31: Sentiment Analysis Django App -Deploy On HerokuProject-32: Attrition Rate Django ApplicationProject-33: Find Legendary Pokemon Django App -Deploy On HerokuProject-34: Face Detection Streamlit AppProject-35: Cats Vs Dogs Classification Flask AppProject-36: Customer Revenue Prediction App -Deploy On HerokuProject-37: Gender From Voice Prediction App -Deploy On HerokuProject-38: Restaurant Recommendation SystemProject-39: Happiness Ranking Django App -Deploy On HerokuProject-40: Forest Fire Prediction Django App -Deploy On HerokuProject-41: Build Car Prices Prediction App -Deploy On HerokuProject-42: Build Affair Count Django App -Deploy On HerokuProject-43: Build Shrooming Predictions App -Deploy On HerokuProject-44: Google Play App Rating prediction With Deployment On HerokuProject-45: Build Bank Customers Predictions Django App -Deploy On HerokuProject-46: Build Artist Sculpture Cost Prediction Django App -Deploy On HerokuProject-47: Build Medical Cost Predictions Django App -Deploy On HerokuProject-48: Phishing Webpages Classification Django App -Deploy On HerokuProject-49: Clothing Fit-Size predictions Django App -Deploy On HerokuProject-50: Build Similarity In-Text Django App -Deploy On HerokuProject-51: Black Friday Sale ProjectProject-52: Sentiment Analysis ProjectProject-53: Parkinson's Disease Prediction ProjectProject-54: Fake News Classifier ProjectProject-55: Toxic Comment Classifier ProjectProject-56: IMDB Movie Ratings PredictionProject-57: Indian Air Quality PredictionProject-58: Covid-19 Case AnalysisProject-59: Customer Churning PredictionProject-60: Create A ChatBotProject-61: Video Game sales AnalysisProject-62: Zomato Restaurant AnalysisProject-63: Walmart Sales ForecastingProject-64: Sonic wave velocity prediction using Signal Processing TechniquesProject-65: Estimation of Pore Pressure using Machine LearningProject-66: Audio processing using MLProject-67: Text characterisation using Speech recognitionProject-68: Audio classification using Neural networksProject-69: Developing a voice assistantProject-70: Customer segmentationProject-71: FIFA 2019 AnalysisProject-72: Sentiment analysis of web scrapped dataProject-73: Determining Red Vine QualityProject-74: Customer Personality AnalysisProject-75: Literacy Analysis in IndiaProject-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)Project-79: Petrol Price Forecasting Using Auto KerasProject-80: Bank Customer Churn Prediction Using H2O Auto MLProject-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)Project-85: Predicting Bike Rentals Count Using ML And H2O Auto MLProject-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)Project-89: Employee Evaluation For Promotion Using ML And Eval Auto MLProject-90: Drinking Water Potability Prediction Using ML And H2O Auto MLProject-91: Image Editor Application With OpenCV And TkinterProject-92: Brand Identification Game With Tkinter And Sqlite3Project-93: Transaction Application With Tkinter And Sqlite3Project-94: Learning Management System With DjangoProject-95: Create A News Portal With DjangoProject-96: Create A Student Portal With DjangoProject-97: Productivity Tracker With Django And PlotlyProject-98: Create A Study Group With DjangoProject-99: Building Crop Guide Application with PyQt5, SQLiteProject-100: Building Password Manager Application With PyQt5, SQLiteProject-101: Create A News Application With PythonProject-102: Create A Guide Application With PythonProject-103: Building The Chef Web Application with Django, PythonProject-104: Syllogism-Rules of Inference Solver Web ApplicationProject-105: Building Vision Web Application with Django, PythonProject-106: Building Budget Planner Application With PythonProject-107: Build Tic Tac Toe GameProject-108: Random Password Generator Website using DjangoProject-109: Building Personal Portfolio Website Using DjangoProject-110: Todo List Website For Multiple UsersProject-111: Crypto Coin Planner GUI ApplicationProject-112: Your Own Twitter Bot -python, request, API, deployment, tweepyProject-113: Create A Python Dictionary Using python, Tkinter, JSONProject-114: Egg-Catcher Game using pythonProject-115: Personal Routine Tracker Application using pythonProject-116: Building Screen -Pet using Tkinter & CanvasProject-117: Building Caterpillar Game Using Turtle and PythonProject-118: Building Hangman Game Using PythonProject-119: Developing our own Smart Calculator Using Python and TkinterProject-120: Image-based steganography Using Python and pillowsTip: Create A 60 Days Study Plan Or 120 Day Study Plan, Spend 1-3hrs Per Day, Build 120 Projects In 60 Days Or 120 Projects In 120 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
