An intro to portfolio hedging, no finance background required… All analysis and programming efforts in this article can be found at: Poseyy/MarketAnalysis Portfolio Theory, Options Theory, & Quant Finance. Contribute to Poseyy/MarketAnalysis development by creating an… github.com This article is purely introductory and experienced options traders will have to wait … Read moreA Quant’s Intro to Portfolio Hedging

Photo by Kaleidico on Unsplash Influencer marketing is not a foreign concept to us anymore. In the US retail business, there are only 33% of the retailers haven’t used or do not intend to use influencer marketing of any kind. However, it is a great way to lift your brand … Read moreInfluencer Marketing using Web Scraping

Pie is delicious! Python is by far one of the easiest programming languages to use. Writing programs is intuitive and so is reading the code itself — it’s almost like plain English! One of Python’s greatest strengths is its endless supply of powerful libraries. Many of these libraries are written … Read moreThe Easiest Python Numpy Tutorial Ever

www.tensorflow.org In this tutorial, I will go over how to save and read data in TFRecord format which is the recommended format by Tensorflow. We are going to use the protocol buffer message tf.train.Example. I will do everything in Tensorflow 2.0 so let’s install it first. !pip install tensorflow==2.0.0-beta1import tensorflow … Read moreWorking with TFRecords and tf.train.Example

A summary of methods and resources for creating a model using an imbalanced dataset You’ve finally collected and cleaned your data and have even completed some exploratory data analysis (EDA). All that hard work has finally paid off — time to start playing with models! However, you quickly realize that … Read moreHow to Ease the Pain of Working with Imbalanced Data

Create professional-looking artwork in 10 minutes using transfer learning. Likewise, we admire the story of musicians, artists, writers and every creative human because of their personal struggles, how they overcome life’s challenges and find inspiration from everything they’ve been through. That’s the true nature of human art. That’s something that … Read moreNeural Style Transfer and Visualization of Convolutional Networks

Tips and tricks to promote brands and gain insights from data Suppose, some day you think of starting a company. In this age and time, one of the most important things is the reach of your company. If the company is formed on certain products which are used by people … Read moreBrand Marketing on Facebook using Statistical Analysis

How to Evaluate a Model’s Fit to Your Training Data Data science is essentially the practice of using data to predict what will occur in different circumstances. To do that, we develop models based on our existing data sets then use the models to predict what will occur in fairly … Read moreA Primer on Model Fitting

Photo by Annie Spratt on Unsplash Before we start, I would like to recommend to look at this paper if you want to get a more in-depth understanding of the algorithms I will talk about. My main goal here is to provide you with an intuitive understanding of those algorithms … Read moreThe proper way of handling mixed-type data. State-of-the-art distance metrics.

The sum rule allows to calculate marginal probability from joint probability. This content is part of a series about Chapter 3 on probability from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. (2016). It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as … Read moreDeep Learning Book Series 3.4 and 3.5 Marginal and Conditional Probability