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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Short Opencv Exercise for counting money\n",
    "Just a random exercise "
   ]
  },

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Autonomous driving - Car detection\n",
    "\n",
    "Welcome to your week 3 programming assignment. You will learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook are described in the two YOLO papers: Redmon et al., 2016 (https://arxiv.org/abs/1506.02640) and Redmon and Farhadi, 2016 (https://arxiv.org/abs/1612.08242). \n",
    "\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convolutional Neural Networks: Application\n",
    "\n",
    "Welcome to Course 4's second assignment! In this notebook, you will:\n",
    "\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Convolutional Neural Networks: Step by Step\n",
    "\n",
    "Welcome to Course 4's first assignment! In this assignment, you will implement convolutional (CONV) and pooling (POOL) layers in numpy, including both forward propagation and (optionally) backward propagation. \n",
    "\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "eff3a02c-cf13-4c08-b2b3-df48c676159c"
    }
   },
   "source": [

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hey all!\n",
    "## Coursera's Machine Learning course- Exercise 4\n",
    "<br>\n",
    "This is the 4th exercise of the course concerning building of neural networks from scratch.<br>\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 2- Andrew NG Machine Learning Course\n",
    "## Hey all!\n",
    "This is the second task from Andrew NG course of machine learning concerning simple **logistic** regression.\n",
    "I implemented the exercise in python but the original implementation is in MATLAB.\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Naive Bayes Classifier\n",
    "## Spam emails classifier\n",
    "\n",
    "Hello all, I wanted to build a spam classifier based on the  naive bayes classifier.<br>\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Elipse detector through DL neural network\n",
    "## Hey, this is my solution for the task.<br>\n",
    "First we are going to build are dataset according to the guidelines given.\n",
    "<br>\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 1- Andrew NG Machine Learning Course\n",
    "## Hey all!\n",
    "This is the first task from Andrew NG course of machine learning concerning simple linear regression.\n",
    "I implemented the exercise in python but the original implementation is in MATLAB.\n",