What's that?

just some hometasks for my university. could be useful for beginners

• INS.ipynb for neural networks (just basic stuff such as MLP and SGD)
• pandas.ipynb speaks for itself and also contains a russian description for each task
• pyspark_kmeans.ipynb was one of homeworks last year. this notebook includes 3 parts:
  • wine 🍷 clusterization using pyspark and kmeans
  • song 🎧 recommendations for a certain user using pyspark ALS
  • sparse matrices multiplication 📈 using pyspark and scipy