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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-python-programming-for-beginners/
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课程名称：90天数据科学训练营：建立90个项目的投资组合 课程概述：本课程旨在通过数据科学实用地解决商业问题。学习使用Python（Flask、Django、Heroku、AWS、Azure、GCP、IBM Watson、Streamlit Cloud）构建和部署机器学习、数据科学、人工智能、自动机器学习、深度学习和自然语言处理（NLP）网络应用项目。我们将全面涵盖世界顶尖公司所需的完整数据科学和机器学习技术栈。我们的学生已在戴尔、谷歌开发者、塔塔咨询服务、Wipro等顶尖科技公司找到工作！课程的结构基于我们在线和面对面教学的经验，以提供清晰、系统的学习方法，帮助学员了解如何以及为何使用数据科学和机器学习库。课程内容在实际案例研究与机器学习算法的数学理论之间取得平衡。 在美国，数据科学家的年平均薪资为120,718美元（截至2021年7月），不同公司的薪资数据如下： - Facebook: $136,000 - Amazon: $125,704 - Apple: $153,885 - Google: $148,316 - IBM: $132,662 - Microsoft: $133,810 - Intel: $125,930 在本课程中，您将参与90个真实世界的项目（60个数据科学项目和30个Python开发项目）。项目示例包括： - 车牌识别、植物病害预测、脸部交换应用 - 语言翻译、广告观看预测、课程推荐系统 - 各类数据分析、模型预测和Web应用创建等 建议学习者创建一个90天的学习计划，每天花费1-2小时，完成90个项目。本课程是成为数据科学家的必备课程，帮助您找到新工作和开启职业生涯。注意：课程价值连城，请及时报名以避免优惠过期。
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).We'll Cover Everything You Need To Know For The Full Data Science And Machine Learning Tech Stack Required At The World's Top Companies. Our Students Have Gotten Jobs At Dell, Google Developers, Tcs, Wipro And Other Top Tech Companies! We've Structured The Course Using Our Experience Teaching Both Online And In-Person To Deliver A Clear And Structured Approach That Will Guide You Through Understanding Not Just How To Use Data Science And Machine Learning Libraries, But Why We Use Them. This Course Is Balanced Between Practical Real World Case Studies And Mathematical Theory Behind The Machine Learning Algorithms.How Much Does A Data Scientist Make In The United States?The National Average Salary For A Data Scientist Is Us$1,20,718 Per Year In The United States, 2.8k Salaries Reported, Updated On July 15, 2021 (Source: Glassdoor)Salaries By Company, Role, Average Base Salary In (Usd)Facebook Data Scientist Makes Us$1,36,000/Yr. Analyzed From 1,014 Salaries.Amazon Data Scientist Makes Us$1,25,704/Yr. Analyzed From 307 Salaries.Apple Data Scientist Makes Us$1,53,885/Yr. Analyzed From 147 Salaries.Google Data Scientist Makes Us$1,48,316/Yr. Analyzed From 252 Salaries.Ibm Data Scientist Makes Us$1,32,662/Yr. Analyzed From 388 Salaries.Microsoft Data Scientist Makes Us$1,33,810/Yr. Analyzed From 205 Salaries.Intel Corporation Data Scientist Makes Us$1,25,930/Yr. Analyzed From 131 Salaries.In This Course, We Are Going To Work On 90 Real-World Projects (60 Data Science Projects, 30 Python Development Projects) Listed Below:60 Data Science, Machine Learning Projects ---Starts Here----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: Black Friday Sale ProjectProject-42: Sentiment Analysis ProjectProject-43: Parkinson's Disease Prediction ProjectProject-44: Fake News Classifier ProjectProject-45: Toxic Comment Classifier ProjectProject-46: Heart Attack Risk Prediction Using Eval ML (Auto ML)Project-47: Credit Card Fraud Detection Using Pycaret (Auto ML)Project-48: Flight Fare Prediction Using Auto SK Learn (Auto ML)Project-49: Petrol Price Forecasting Using Auto KerasProject-50: Bank Customer Churn Prediction Using H2O Auto MLProject-51: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)Project-52: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)Project-53: Pizza Price Prediction Using ML And EVALML(Auto ML)Project-54: IPL Cricket Score Prediction Using TPOT (Auto ML)Project-55: Predicting Bike Rentals Count Using ML And H2O Auto MLProject-56: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)Project-57: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)Project-58: Hospital Mortality Prediction Using PyCaret (Auto ML)Project-59: Employee Evaluation For Promotion Using ML And Eval Auto MLProject-60: Drinking Water Potability Prediction Using ML And H2O Auto ML30 Python Development Projects -- Starts Here--Project-61: Image Editor Application With OpenCV And TkinterProject-62: Brand Identification Game With Tkinter And Sqlite3Project-63: Transaction Application With Tkinter And Sqlite3Project-64: Learning Management System With DjangoProject-65: Create A News Portal With DjangoProject-66: Create A Student Portal With DjangoProject-67: Productivity Tracker With Django And PlotlyProject-68: Create A Study Group With DjangoProject-69: Building Crop Guide Application with PyQt5, SQLiteProject-70: Building Password Manager Application With PyQt5, SQLiteProject-71: Create A News Application With PythonProject-72: Create A Guide Application With PythonProject-73: Building The Chef Web Application with Django, PythonProject-74: Syllogism-Rules of Inference Solver Web ApplicationProject-75: Building Vision Web Application with Django, PythonProject-76: Building Budget Planner Application With PythonProject-77: Tic Tac Toe GameProject-78: Random Password Generator Website using DjangoProject-79: Building Personal Portfolio Website Using DjangoProject-80: Todo List Website For Multiple UsersProject-81: Crypto Coin Planner Gui ApplicationProject-82: Your Own Twitter Bot -python, request, API, deployment, tweepyProject-83: Create A Python Dictionary Using python, Tkinter, JSONProject-84: Egg-Catcher Game using pythonProject-85: Personal Routine Tracker Application using pythonProject-86: Building Screen -Pet using Tkinter & CanvasProject-87: Building Caterpillar Game Using Turtle and PythonProject-88: Building Hangman Game Using PythonProject-89: Developing our own Smart Calculator Using Python and TkinterProject-90: Image based steganography Using Python and pillowsTip: Create A 90 Days Study Plan, Spend 1-2hrs Per Day, Build 90 Projects In 90 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.
