Master Generative AI with 10+ Real-world Projects in 2025!
Data exploration can often by time consuming in data science. These 10 data exploration tips, tricks and hacks will save you a lot of time.
Object detection is a computer vision problem of locating instances of objects in an image.TensorFlow API makes this process easier with predefined models.
Learn how feature scaling, normalization, & standardization work in machine learning. Understand the uses & differences between these methods.
Ball tracking system is a part of DRS. Here, learn how to build a ball tracking system for cricket using object tracking, deep learning and Python.
Learn the Pandas groupBy function: understand datasets, the split-apply-combine strategy, loop over groups, and apply functions efficiently. Read Now!
Data manipulation and wrangling hacks, tips and tricks to become an efficient data scientist. We cover 10 python, pandas and other data science hacks.
Explore the issues of multicollinearity in regression models, including its causes, effects, and detection methods like VIF. Learn to Fix it.
Pretrained word embeddings are a key concept in Natural Language Processing. We will cover two-word embeddings in NLP: Word2vec and GloVe.
Create pivot tables with Pandas in Python. Learn how to quickly summarize and analyze data by generating a powerful pandas pivot table.
Learn to build decision trees in Weka without coding. Ideal for beginners tackling classification & regression problems through an interface.
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