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### Learning Goals
- Create a multi-layer perceptron model from scratch using NumPy
- Understand forward pass, backpropagation and hyperparameter tuning from the ground up
### Exercise Statement
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🔍 Problem Description:
In the banking industry, it is critical to predict which customers are at risk of leaving to develop retention strategies and prevent revenue loss. This project, titled Custome…
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### Before
```python
import pymc as pm
import numpy as np
with pm.Model() as m:
mu = pm.Normal('mu')
sigma = pm.Exponential('sigma', 1)
obs = pm.Normal('obs', mu, sigma, observed=n…
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Objective
The primary objective of this project is to develop a book recommendation system that effectively suggests books to users based on their preferences and ratings. By utilizing machine learni…
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Analysis of real-time domestic consumer data and industrial electrical energy consumption data, providing valuable insights for decision-making & using mathematics, statistics, predicting report.
Con…
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### Basics
- [x] 1. Intro to R (1) (Part 1)
- [x] 2. Intro to tidyverse (1) (Part 1)
- [x] 3. Data visualization with ggplot2 (1) (Part 1)
- [x] 8. Exploratory data analysis (1) (Part 1)
### …
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From the Community forums at https://community.software.sil.org/t/keyman-roadmap-march-2020/822/29:
> Being able to identify in the tsv file what types of words can take what types of prefixes and …
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### New Project: Housing Prices EDA and Prediction
**Project Overview:**
We are starting a new project to analyze and predict housing prices using the "Housing Prices EDA and Prediction"This proje…
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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stoc…
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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…