Ajay Ohri decisionstats

## timeseries.ipynb

      
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                decisionstats
                / timeseries.ipynb
            
            
              Created
              August 1, 2019 10:21
            
              
                Time Series
              
          
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## python with sql and rdbms
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## linear regression in python
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## postgres with sqlalchemy
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## new one iris rodbc
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## forvijayiris
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## forvijayiris
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## class 10
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## SQL Alchemy
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## k means clustering
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "K Means Clustering in Python. including Performance metric ,Confusion Matrix, Visualization"
   ]
  },
  {
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 3,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 2,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 4,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 16,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"K Means Clustering in Python. including Performance metric ,Confusion Matrix, Visualization"
	]
	},
	{