Imports: import plotly.graph_objects as go Plot: fig = go.Figure() fig.add_trace(go.Scattermapbox( mode = "markers+lines", lon = [10, 20, 30], lat = [10, 15,30], marker = {'size': 10})) fig.add_trace(go.Scattermapbox( mode = "markers+lines", lon = [-50, -60,40], lat = [30, 10, -20], marker…
Tested in Databricks import pyspark.sql.functions as F import requests # create dataframe pokenumbers = [(i,) for i in range(100)] cols = ["pokenum"] df_pokenums = spark.createDataFrame(data=pokenumbers, schema=cols) # call API def get_name(rows): # take the first item in list (API doesn't…
This article on causal machine learning covers a practical example of how to learn structural causal models (SCM) directly from data. We will use bnlearn, which is an open-source library for learning the graphical structure of Bayesian networks in Python.…
Here is a plan to learn ML fundamentals in an afternoon by watching some videos on youtube: Follow this plan Machine learning fundamentals: What is Bias and Variance? – 6 minutes What is a Tensor? – 12 minutes [Stop and…
Python has great options for plotting data. However, sometimes you want to explore data by changing parameters and rerunning plots to explore the effect of those changed parameters. This slows down the cycle of exploration. Luckily, Jupyter offers you a…
Very nice interactive 3D plots with Plotly. import plotly.graph_objects as go import numpy as np import pandas as pd # Read data from a csv Z = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv').values # Actually not necessary to provide X and Y… X = np.linspace(0,…
Optimal Dynamic Pricing of Inventories over Finite Horizons
Example You have a user table in Postgres: CREATE SCHEMA tutorial; CREATE TABLE tutorial.crud_users ( id INT NOT NULL, username VARCHAR NOT NULL, CONSTRAINT crud_table_pkey PRIMARY KEY (id) ); You insert new users and update usernames for existing users. Update…
The nose flute The Duo A’Reng, a primitive talkbox!
For the last five years, I have been fascinated with machine learning techniques, but that fascination is slowly running out. I increasingly consider ML a tool in my tool box among others, not a panacea to all problems. In particular,…