Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Data mining is an important method that we use for extracting meaningful information from data. Data preprocessing lays the groundwork for data mining yet most researchers unfortunately, ignore it.

Training deep learning models requires a lot of data! Unfortunately, data comes messy, and our models are very sensitive towards this.