Description
Data Science Bundle Course: 180 Hands-On Projects – Course 2 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. Cloud-scale your projects with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit. Get ready to turn data into powerful solutions! Enrolling in this course is a transformative decision for several compelling reasons. This dynamic program is carefully designed to take you on a journey from theory to practical, hands-on mastery. In the first phase, you will be introduced to the exciting world of real-world machine learning and data-driven projects and gain valuable skills for solving complex problems. Second, this course will enable you to unleash your data science skills. Not only will you learn to build and deploy machine learning, artificial intelligence, and NLP models, but you will also become proficient in Python and web frameworks like Flask and Django. Upgrade your projects to the cloud using Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit to expose your work to the world. Additionally, you’ll go through the entire project lifecycle, from ideation to deployment, gaining hands-on experience at every stage. By working on real, industry-inspired projects, you’ll develop the confidence and skills you need to excel in the real world. In this course, we’ll work on 60 real-world projects listed below:
Data science projects:
Project-1: Development of a chatbot with artificial intelligence using GPT-3.5
Project 2: American Sign Language Recognition with CNN
Project 3: Classification of building areas using K-Means and DNN
Project 4: Clustering COVID-19 research articles using vector embeddings
Project 5: Proposed model and prediction of product performance
Project-6: Production of images with DCGAN architecture
Project-7: Seizure prediction using EEG signals and SVM
Project-8: Classification of music genres using spectrometers
Project 9: Diagnosing diseases based on symptoms using transformers and tokenizers
Project 10: Summarize the text using advanced techniques
Project-11: SentimentSense: Sentiment Decoding – Sentiment Analysis of the Django App on Heroku
Project-12: AttritionMaster: Navigating the Path of Employee Attrition – Django Program
Project-13: PokeSearch: Legendary Pokemon Quest – Django App Adventure on Heroku
Project-14: FaceFinder: Hide hidden faces – Face recognition with Streamlit Magic
Project 15: FelineCanine: Pawsitively Classy – Bottle app for classifying cats and dogs
Project-16: RevGenius: Revenue Gems Prediction – Customer Revenue Prediction on Heroku
Project-17: VoiceGender: Vowel Clues Revealed – Gender Prediction Based on Voice on Heroku
Project-18: EatSuggest: A cooking companion – restaurant recommendation system
Project-19: JoyRank: Spreading happiness – happiness ranking app Django on Heroku
Project-20: WildFireWarn: Taming the Inferno – Django wildfire forecasting app on Heroku
Project-21: SonicWaveWhisper: Echoes of Prediction – Predicting sound wave speed using signal processing techniques
Project-22: PressureQuest: Pore pressure exploration – pore pressure estimation using machine learning
Project-23: SoundSorcerer: Enchanting Audio Processing – Sound processing with ML
Project-24: TextTalker: Revealing text secrets – text characterization using speech recognition
Project-25: AudioMaestro: Synchronization of audio classifiers – Audio classification using neural networks
Project-26: VoiceCompanion: Your AI Voice Assistant – Development of Voice Assistants
Project-27: SegmentSense: Discovering customer segments – customer segmentation
Project-28: FIFAPhenom: Goal scoring with FIFA 2019 analysis
Project-29: SentimentWeb: Surfing the Web Scraped Sentiment Waves – Sentiment Analysis of Web Scraped Data
Project-30: VinoVirtuoso: Revealing the Essence of Red Wine – Determining Red Wine Quality
Project-31: PersonaProbe: Deciphering customer personas – customer persona analysis
Project-32: LiterateNation: A journey into the literacy landscape of India – An analysis of literacy in India
And…
Project-60: Customer Personality Analysis: Marketing and Sales Strategies
Tips: Create a 60-day study plan, spend 1–2 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 2 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 insight into the end-product workflow of the machine learning lifecycle and ensure you fully understand each step.
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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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Empower yourself to perform powerful data analytics that can drive decision-making.
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Learn data cleaning techniques to manage and remove outliers and ensure data quality.
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Gain skills that are in high demand and increase your chances of getting hired as a data scientist.
This course is suitable for people who
- Beginners in data science
Course Specifications for the Data Science Bundle: 180 Hands-On Projects – Course 2 of 3
- Editor: Udemy
- Lecturer: Pianolytix.
- Training level: beginner to advanced
- Training duration: 40 hours and 36 minutes
- Number of courses:
Data Science Bundle Course Title: 180 Practical Projects – Course 2 of 3 on 11.2023
Course Prerequisites for the Data Science Bundle: 180 Practical Projects – Course 2 of 3
- Basic knowledge of machine learning
Images of Data Science Bundle Course: 180 Practical Projects – Course 2 of 3
Sample video of the course
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