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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Titanic - Kaggle Competition\n",
    "## Hey all!\n",
    "This will be my first Python notebook depicting my code for the kaggle contest \"Titanic\".\n",
    "The competition page is __[Here](https://www.kaggle.com/c/titanic#evaluation)__\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Housing Prices from Kaggle\n",
    "# My second competition from kaggle\n",
    "\n",
    "Hey, this will be my second kaggle competition after the titanic challenge.\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "kR-4eNdK6lYS"
   },
   "source": [
    "Deep Learning\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5hIbr52I7Z7U"
   },
   "source": [
    "Deep Learning\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "kR-4eNdK6lYS"
   },
   "source": [
    "Deep Learning\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "4embtkV0pNxM"
   },
   "source": [
    "Deep Learning\n",

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 3 - Multiclass classification\n",
    "## Hello all!\n",
    "\n",
    "This will be my featured solution for the Execise number 3 in the coursera machine learning course by Andrew NG.\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",

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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": [
    "# 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",