Description
Data Science Bundle Course: 180 Hands-On Projects – Course 1 of 3 Unleash your mastery of data science in this dynamic course! Learn how to build and deploy machine learning, AI, NLP models, and more using Python and web frameworks like Flask and Django. Bring your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit. Get ready to turn data into powerful solutions! Embark on a dynamic learning experience with our comprehensive Applied Data Science: From Theory to Real-World Impact course. Concepts to concrete solutions. This hands-on program enables you to tackle complex problems using advanced techniques and guides you through the project lifecycle. From idea generation to data collection to preprocessing, modeling, and deployment, you’ll control every step and hone your skills in real-world environments. Develop skills to deploy models in a variety of environments, from interactive web applications to mission-critical systems. Gain insight into model deployment challenges and learn how to address them effectively. With a strong emphasis on experiential learning, you will work on real, industry-inspired projects and implement strategies that deliver measurable results. “Data-Driven Projects” go beyond technical aspects and emphasize the integration of data-driven decision-making with various business perspectives. Experience the integration of data analytics and strategic thinking that drive business impact through deep insights. Whether you are a seasoned data professional or a newbie, this course will give you the knowledge and confidence to excel in real-world scenarios. Advance your data science journey today and become a skilled master solver, able to leverage data for transformative outcomes that make a difference in today’s data-rich world. In this course, we will work on 60 real-world projects listed below:
Project 1: Forecasting renewable energy production: time series and regression analysis
Project 2: Predicting the selling price of diamonds using multiple regression methods
Project 3: Ethereum price prediction using GRU/LSTM to predict
Project-4: Detecting stress levels from PPG sensor data using neural networks
Project-5: Classification of brain tumors with CNN and OpenCV
Project 6: Predicting age and gender from a chest X-ray using CNN and OpenCV
Project-7: Diagnosis of COVID-19 by CT scan using ResNet, DenseNet and VGG models
Project 8: Detecting DeepFakes with ResNet and CNN
Project-9: Automatic plate detection with ResNet and CNN
Project-10: Land segmentation using the U-Net architecture
Project 11: LingoLinx: Unleashing Multilingual Magic – Language Translator App on Heroku
Project 12: AdView Pro: Cracking the code for ad display prediction with IBM Watson on Heroku
Project-13: LappyPricer: Decoding laptop prices with Heroku’s predictive power
Project-14: TextWise: Uncovering insights from WhatsApp texts with Heroku’s analytical arsenal
Project 15: SmartCourse: Guide for your academic journey – Course recommendation system on Heroku
Project-16: IPL Prophets: Predicting IPL Match Wins with a Touch of Heroku Magic
Project-17: BodyFit: Build your body fat estimation app on Microsoft Azure
Project 18: CareerPath: Paving the way to success on campus with Microsoft Azure
Project 19: AutoCar: Predicting future car adoption on Google Cloud
Project-20: GenreGenius: A journey into book genres with Amazon Web Services
Project-21: DNA Seeker: Discovering Genetic Clues – E. Gypsy Taxonomy Adventure in AWS
Project-22: WordWizard: Unleash sentence magic – predicting the next word in AWS
Project-23: SeqMaster: Journey into Sequence Prediction – LSTM Adventure on AWS
And…
Project 60: Traffic Accidents in Seattle: A Safety and Traffic Analysis
Tip: Create a 60-day study plan, spend 1-3 hours a day and create 60 projects in 60 days. The only course you need to become a data scientist, get hired and start a new career. Note: This course is worth your time and money, enroll now before the offer ends.
What you will learn in the Data Science Bundle: 180 practical projects – Course 1 of 3
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Master the fundamentals of machine learning with Python, the leading language for data science.
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Learn to build robust machine learning models that can withstand real-world uncertainties.
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Gain the skills needed to deploy and apply machine learning models in a live environment.
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Develop a strong instinct for selecting the right machine learning models for different tasks.
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Implement popular machine learning algorithms from scratch to give you a comprehensive understanding of how they work.
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Use SciKit-Learn, the Python machine learning library, to perform various tasks efficiently.
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Discover Matplotlib, the Python plotting library for effectively visualizing your data.
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Get familiar with deep learning, transfer learning and neural networks and expand your skills.
This course is suitable for people who
- Beginners in data science
Course Specifications for Data Science Bundle: 180 Hands-On Projects – Course 1 of 3
- Editor: Udemy
- Lecturer: Pianolytix.
- Training level: beginner to advanced
- Training duration: 73 hours and 23 minutes
- Number of courses:
Data Science Bundle Course Title: 180 Practical Projects – Course 1 of 3 on 11.2023
Course Prerequisites for the Data Science Bundle: 180 Practical Projects – Course 1 of 3
- Basic knowledge of data science
Course pictures
Video example of the Data Science Bundle course: 180 practical projects – Course 1 of 3
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