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所在平台: Udemy |
课程主页: https://www.udemy.com/course/real-world-data-science-machine-learning-projects/
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课程名称：50天50项目：数据科学与机器学习训练营 概述：在本课程中，学员将通过实际操作解决商业问题，学习构建和部署机器学习、数据科学、人工智能、自动机器学习、深度学习及自然语言处理(NLP)的网页应用项目，使用Python（Flask、Django、Heroku、AWS、Azure、GCP、IBM Watson、Streamlit Cloud）进行开发。数据科学是数学、商业洞察、工具、算法和机器学习技术的结合，旨在从原始数据中发现潜在的洞察或模式，以辅助企业做出重大决策。 在数据科学中，学员将处理结构化和非结构化数据，利用预测分析算法进行数据处理。因此，数据科学关注的是现在和未来，通过分析历史数据发现趋势，为当前决策提供依据，并找出可建模的模式以进行未来预测。数据科学融合了统计学、工具和商业知识，因此数据科学家应具备扎实的相关知识和理解能力。 随着数据生成量的增加及分析领域的不断发展，数据科学已成为企业的必需品，几乎所有行业（如金融、市场营销、零售、IT、银行等）都在积极寻找数据科学家。这种需求推动了全球范围内对数据科学家的招聘热潮，企业提供的薪资也相对优厚，使得这一职业在21世纪成为热门选择，适合各个背景的人士入行。 在本课程中，学员将完成50个真实世界的项目，其中包括： 1. Pan Card篡改检测应用 2. 狗品种预测Flask应用 3. 图像水印应用 4. 交通标志分类项目 5. 图片文本提取应用 6. 植物疾病预测Streamlit应用 7. 车辆检测与计数Flask应用 8. 照片换脸Flask应用 9. 鸟类物种预测Flask应用 10. Intel图像分类Flask应用 （继续列举其他项目至第50个） 建议学员制定50天的学习计划，每天花1-2小时，完成50个项目。这是成为数据科学家的唯一课程，助您找到工作并开启新的职业生涯。值得注意的是，该课程非常值得投入您的时间和金钱，请尽快注册，以免错失优惠。
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).Data science can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions, and finding patterns that can be modeled and can be used for predictions to see what things may look like in the future.Data Science is an amalgamation of Statistics, Tools, and Business knowledge. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies. To make the most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. All are looking for Data Scientists. This has led to a huge demand for Data Scientists all over the globe. With the kind of salary that a company has to offer and IBM is declaring it as the trending job of the 21st century, it is a lucrative job for many. This field is such that anyone from any background can make a career as a Data Scientist.In This Course, We Are Going To Work On 50 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: Sentiment Analysis Django App -Deploy On HerokuProject-22: Attrition Rate Django ApplicationProject-23: Find Legendary Pokemon Django App -Deploy On HerokuProject-24: Face Detection Streamlit AppProject-25: Cats Vs Dogs Classification Flask AppProject-26: Customer Revenue Prediction App -Deploy On HerokuProject-27: Gender From Voice Prediction App -Deploy On HerokuProject-28: Restaurant Recommendation SystemProject-29: Happiness Ranking Django App -Deploy On HerokuProject-30: Forest Fire Prediction Django App -Deploy On HerokuProject-31: Build Car Prices Prediction App -Deploy On HerokuProject-32: Build Affair Count Django App -Deploy On HerokuProject-33: Build Shrooming Predictions App -Deploy On HerokuProject-34: Google Play App Rating prediction With Deployment On HerokuProject-35: Build Bank Customers Predictions Django App -Deploy On HerokuProject-36: Build Artist Sculpture Cost Prediction Django App -Deploy On HerokuProject-37: Build Medical Cost Predictions Django App -Deploy On HerokuProject-38: Phishing Webpages Classification Django App -Deploy On HerokuProject-39: Clothing Fit-Size predictions Django App -Deploy On HerokuProject-40: Build Similarity In-Text Django App -Deploy On HerokuProject-41: Heart Attack Risk Prediction Using Eval ML (Auto ML)Project-42: Credit Card Fraud Detection Using Pycaret (Auto ML)Project-43: Flight Fare Prediction Using Auto SK Learn (Auto ML)Project-44: Petrol Price Forecasting Using Auto KerasProject-45: Bank Customer Churn Prediction Using H2O Auto MLProject-46: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)Project-47: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)Project-48: Pizza Price Prediction Using ML And EVALML(Auto ML)Project-49: IPL Cricket Score Prediction Using TPOT (Auto ML)Project-50: Predicting Bike Rentals Count Using ML And H2O Auto MLTip: Create A 50 Days Study Plan, Spend 1-2hrs Per Day, Build 50 Projects In 50 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.
