Skip to main content

5 Kick As Data Science Projects

  5 Kick As Data Science Projects

Today we are looking at 5 fantastic projects to work on, both in terms of getting practical and useful experience for a professional career, as well as broadening your mind and horizon, and opening your eyes for the newest technologies and future possibilities.


These project are great for any data science portfolio. If you are wondering how you can build an awesome data science portfolio, I demystify the process in this article:


1. Detecting Fake News 📰


One topic that continues to be highly debated is the effect that fake news, deepfake videos and other similarly manipulated content have on our society. As this paper by Eliza Shoemaker concludes, it is impossible to stop fake news from being created, but detecting it is possible.


Typically these projects also include the use of decision trees, NLP, Stop Word, TFIDF, PoS and VADER algorithms for detecting and recognizing different forms of content. This can be useful in many other fields, such as translation and AI content generation, as well as voice recognition etc.


2. AI Powered Intelligent Chatbot 💬


Another common project for new data scientists is the so-called Chatbot. These projects typically include the use of natural language processing, but can also be built using NLU and NLG features, as well as methods for matching patterns.


By building your own Chatbot from scratch, you can show potential employers that you know your way around Python’s NLTK library, which is highly used for a multitude of purposes in the professional world. And you will also get a chance to showcase how you process, test and train for data scenarios.


3. Sentiment Analysis 😯


Sentiment analysis can also be used to look at product reviews, in order to move away from the typical 1–5 star reviews, and instead focus on the specific details of each review. These projects typically include the use of datasets or web scraping, but also extraction patterns, NLP and data structures are methods you get to explore.


4. Image classification 🔍


Here you will learn to train deep learning models, and depending on your project you can use libraries such as TensorFlow, MATLAB or RapidMiner to further enhance your results and polish your skills.


This is a pretty vast area and most projects online use GPUs. Let’s be honest, only a few of us have access to a GPU or want to spend $ on cloud VMs. So, I will do my best to include projects that are easy to follow and do not require GPU:


5. Data Architecture 🧱


Businesses need data scientists to properly structure and categorize the vast amounts of data from their customers, their products and their business partners. All this data needs to be accessible around the clock, while also stored securely in cost optimized and/or performance optimized architecture.


Important Links

Home Page 

Courses Link  

  1. Python Course  

  2. Machine Learning Course 

  3. Data Science Course 

  4. Digital Marketing Course  

  5. Python Training in Noida 

  6. ML Training in Noida 

  7. DS Training in Noida 

  8. Digital Marketing Training in Noida 

  9. Winter Training 

  10. DS Training in Bangalore 

  11. DS Training in Hyderabad  

  12. DS Training in Pune 

  13. DS Training in Chandigarh/Mohali 

  14. Python Training in Chandigarh/Mohali 

  15. DS Certification Course 

  16. DS Training in Lucknow 

  17. Machine Learning Certification Course 

  18. Data Science Training Institute in Noida

  19. Business Analyst Certification Course 

  20. DS Training in USA 

  21. Python Certification Course 

  22. Digital Marketing Training in Bangalore

  23. Internship Training in Noida

  24. ONLEI Technologies India

  25. Python Certification

  26. Best Data Science Course Training in Indore

  27. Best Data Science Course Training in Vijayawada

  28. Best Data Science Course Training in Chennai

  29. ONLEI Group

  

Comments

Post a Comment

Popular posts from this blog

Data Science Career Path: Learn & Land Your Job

  Embarking on a career in data science offers a world of possibilities in today's technology-driven landscape. As the demand for skilled data professionals continues to soar, it becomes increasingly vital to equip oneself with the necessary knowledge and expertise to thrive in this field. ONLEI Technologies stands out as a beacon of opportunity, offering comprehensive live online training programs designed to prepare aspiring data scientists for success. In this article, we delve into the intricacies of the data science career path, highlighting the importance of live online training, exploring ONLEI Technologies' innovative training program, and providing insights into key skills and strategies essential for securing a rewarding data science job. Introduction to Data Science Career Path Ah, data science, the cool kid on the career block! If you're a fan of numbers, patterns, and unraveling mysteries hidden in heaps of data, then this might just be the wand you need to wa...
Post a Comment
Read more

Machine Learning Techniques

Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to directly "learn" from data without relying on a predetermined equation as a model. As the number of samples available for learning increases, the algorithm adapts to improve performance. Deep learning is a special form of machine learning . How does machine learning work ? Machine learning uses two techniques: supervised learning, which trains a model on known input and output data to predict future outputs, and unsupervised learning, which uses hidden patterns or internal structures in the input data. Supervised learning Supervised machine learning creates a model that makes predictions based on evidence in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reason...
Post a Comment
Read more

Marketing Strategy of Cadbury

  Marketing Strategy of Cadbury  The marketing strategy of Cadbury has helped the brand create such a place in the hearts of Indian customers that the first thing that comes to our minds when someone says “chocolate” is “Cadbury”. A certain class of Indians does not even say the word “ chocolate ”, they’d say “Would you like to have a Cadbury?” Such has been the influence of Cadbury on its consumers’ minds. About Cadbury India Cadbury was established by John Cadbury in 1824 in Birmingham, England. Later, In 2010, it was acquired by Kraft Foods and is currently managed by Mondelez International. Cadbury India was established in 1948 in India and is currently headquartered in Mumbai, Maharashtra. Its headquarters in Mumbai is popularly also called “Cadbury House”. At present, Cadbury India operates in five categories – chocolate confectionery, beverages, and biscuits. Its popular products include Dairy Milk, Oreo, Tang, Bournvita, etc. The company has also tied up with Hindus...
Post a Comment
Read more