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I had good experiences in the Quick books Accounts receivables/Account payables /Inventories

€157 - €471
€157 - €471
0 bud

I need a website nd an app for customozed gifts,back covers,tshirts and etc. Customer will adjust..move add quote as per their choice with online editing option Even i need an admin panel app where i will upload pics..delete add description and manage web Sample -Printbebo..shopify

€75 - €151
€75 - €151
0 bud
Not so hurry 6 dage left

JAVA (+3 years) Experience with geolocation systems will be a plus I need a custom backend to track cellphones through gps in real time

€126 (Avg Bid)
€126 Gns Bud
1 bud

.Multiple Homepage .Homepage with slider option .Homepage with Google map option .Multiple Listing pages .Property Listing page simple grid listing (Fast Search one click) .Property Listing page with Google map .Featured Listing .Payment with Stripe and Paypal .Admin can add/edit categories .Admin can add/edit features i.e. Lift, pool etc. .Property For Rent/Sale .Other Property Options i.e. Beds,...

€122 (Avg Bid)
€122 Gns Bud
5 bud

Have have 2 spreadsheets. One has the main information-Main Spreadsheet. The other spreadsheet has listing of URLs. Require URLS be placed on links that match to filenames of audio mp3 files that are listed in the URLs of the first Excel sheet. Deliver one CSV file with all the data.

€19 (Avg Bid)
€19 Gns Bud
8 bud

I need you to write some articles.

€66 (Avg Bid)
€66 Gns Bud
2 bud
Graphic designer 6 dage left

I need to design a few phamplets and vouchers for my shop

€3 / hr (Avg Bid)
€3 / hr Gns Bud
8 bud
Article writer 6 dage left

Write for the many different websites we own and can work 2-4 hours daily for 5 days. No illegal or content that is not appropriate will be written. All content written is all G rated. Looking for someone who can do quality work and dedicate part time then full time.

€12 / hr (Avg Bid)
€12 / hr Gns Bud
10 bud

I need someone to copy information from some websites.

€90 (Avg Bid)
€90 Gns Bud
5 bud

1. Use the Boston data set available in sklearn package. Perform exploratory data analysis and construct a linear regression to predict the house price. You can use the following Python code to load the dataset. import pandas as pd # conventional alias from [log ind for at se URL] import load_boston dataset = load_boston() df = [log ind for at se URL]([log ind for at se URL], columns=[log ind...

€20 (Avg Bid)
€20 Gns Bud
1 bud