Master Generative AI with 10+ Real-world Projects in 2025!
Explore class imbalance in machine learning with class weights in logistic regression. Learn implementation tips to boost model performance!
We will talk about how to leverage data science to solve practical problems and take better decision making leading to higher efficiency.
Here's an approach to grow your business online from scratch thanks to marketing and business analytics in today's digital world.
The ultimat beginners guide to breaking into the top 10% of Machine learning hackathons.
10 Data Science Libraries most beginners miss out on in Python which can make our lives so much easier and our codes so much more efficient.
After training our model and have predicted the outcomes, we need to evaluate the model's performance. And here comes our Confusion Matrix.
We will see what actually gradient Descent is and why it became popular and why most of the algorithms in AI and ML follow this technique.
Exploratory Data Analysis is an approach to discover the insights in the data. It is one of the best practices in data science today.
K-means clustering is a powerful unsupervised machine learning algorithm. It is used to solve many complex machine learning problems.
Matplotlib is the best library to plot graphs in Python. Learn about Plotting graphs using matplotlib and draw graphs as per your data
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