In this lesson we are going to take a look at how we can connect Apollo to N8N in a simple workflow. Apollo allows for a ton of lead generation opportunities and many companies are looking to build workflows with it integrated. You can use Apollo outside of Apify, but to save money you can […]
N8N Apify
Apify and N8N just release a set of nodes & triggers that can be added natively in N8N cloud. In this tutorial we will go over the differences between the old approach and the new one. If you prefer a video over text format, the video on our YouTube channel is embedded below. I’m also […]
N8N Hubspot
In this guide, we will walk you through two different approaches on how you can use Hubspot with N8N. These were inspired by a recent customer who wanted to have data from SQL reports populate custom fields within hubspot. If you need any help with N8N workflows, I’m taking on customers. https://youtu.be/9_XmJQZ2FG0 Simple Hubspot Workflow […]
n8n openai api
In this article, we will be taking a look at how you can set up GPT 5 / OpenAI in N8N. This process should take under 10 minutes in total. If you want to watch a video showcasing the same info we cover in the article, it is linked down below. Also if you need […]
Streamlit Tutorial
Streamlit can help businesses automate a ton of tasks in a short amount of time. It essentially is a quick UI you can throw on top of Python code allowing you to build models and spreadsheet calculations very quickly. In this streamlit course we are going to cover the basics of Streamlit from creating your […]
n8n google search leads
Scraping the top websites for search terms can serve many purposes. Some companies may give this to sales members to reach out to potential clients, while others may use it to track SEO competitors. In this N8N lesson, I’ll show you how to scrape the Google Search Engine Results Page (SERP) with the help of […]
How to Normalize a Column Python Pandas
Let’s learn the different ways we can normalize a column from a pandas dataframe in python. Pandas: Pandas is an open source python library built on top of numpy. It is used in machine learning and data science for its various data structures and easy to use functions to manipulate data in dataframes. Pandas is […]
Sklearn Support Vector Machine
A popular supervised classification algorithm used within scikit-learn is Support Vector Machine (SVM) SVM works by finding a hyperplane (a decision boundary) that separates data points from different classes. It does this by maximizing the distance (margin) between the hyperplane and the nearest data points from each class, which are called support vectors If you […]
Scikit-learn Pipelines
import pandas as pd import numpy as np import joblib from sklearn.model_selection import train_test_split from sklearn.impute import SimpleImputer from sklearn.linear_model import LogisticRegression from sklearn.tree import DecisionTreeClassifier from sklearn.pipeline import make_pipeline, Pipeline from sklearn.preprocessing import StandardScaler, OneHotEncoder from sklearn.compose import ColumnTransformer d1 = {‘Social_media_followers’:[1000000, np.nan, 2000000, 1310000, 1700000, np.nan, 4100000, 1600000, 2200000, 1000000], ‘Sold_out’:[1,0,0,1,0,0,0,1,0,1]} df1 = […]
Tree of Thought Prompting
In the ever-evolving field of artificial intelligence, reasoning and problem-solving capabilities have seen remarkable advancements. One such innovation that stands out is the use of Tree of Thoughts (TOT) in AI reasoning, particularly in the realms of mathematical reasoning and writing TOT excels in guiding the progression of thoughts, making the problem-solving process more comprehensive […]