Vagrant box development for FCC students who are learning Python, Ruby, PHP, Clojure, Jave, Node etc.

My 5 Machine Learning projects that I've built as part of my freeCodeCamp assignment.

Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Currently both graph and 3D voxel representation methods are based on the heterogeneous elements of the crystal structures. Here, we propose to use electronic charge density (ECD) as a generic unified 3D descriptor for materials property prediction with the advantage of possessing close relation with the physical and chemical properties of materials. We developed an ECD based 3D convolutional neural networks (CNNs) for predicting elastic properties of materials, in which CNNs can learn effective hierarchical features with multiple convolving and pooling operations. Extensive benchmark experiments over 2,170 Fm-3m face-centered-cubic (FCC) materials show that our ECD based CNNs can achieve good performance for elasticity prediction. Especially, our CNN models based on the fusion of elemental Magpie features and ECD descriptors achieved the best 5-fold cross-validation performance. More importantly, we showed that our ECD based CNN models can achieve significantly better extrapolation performance when evaluated over non-redundant datasets where there are few neighbor training samples around test samples. As additional validation, we evaluated the predictive performance of our models on 329 materials of space group Fm-3m by comparing to DFT calculated values, which shows better prediction power of our model for bulk modulus than shear modulus. Due to the unified representation power of ECD, it is expected that our ECD based CNN approach can also be applied to predict other physical and chemical properties of crystalline materials.

FCC Machine Learning: Book Recommendation Engine using KNN

LIOUNIS LYKOURGOS DIMOSTHENOUS 3 NEW FILADELFIA-ATHENS GREECE Label Postcard Email: Show SV1GZL's email address VHF/UHF (FM, SSB, WSJT-MS-Scatter, Satellite AO40, Packet, Echolink) abt. 200Watt 2x10Elem. CrossYagi, 2x19Elem.X-yagi, X7000 on UHF,SHF (FM, ATV, SAT AO40 Mode-S) on 461THz Red LASER Communication (AM,FM,PSK,PUA43) 650nm, 5mWatt ..more than 55km ODX Bio last modified: 2006-04-27MEMBER OF FOREST PROTECT ORGANIZATION I.O.T.A. & EMERGENCY AMATEUR TEAM OF GREECE D-STAR Bands: 2 meters, 430/440 MHz / 70cm, VHF, UHF Activities: Aeronautical operations, Backpacking operations, Bicycle operations, Community service, County hunting, Emergency operations, Field day, Frequency coordination, Fox hunting, Hamfests, Horse mobile, Kit building, Maritime operations, Meteor scatter, Mobile operations, Moonbounce EME, Motorcycle mobile, Mountain topping, Official Bulletin Station, Official Observer Station, Portable operation, Programming (computers), Public service, QRP, Radio Controlled Model Craft, Rag chewing, Recreational vehicles, Search & rescue, Shortwave listening, Skywarn, SporadicE, Traffic Handling, VHF weak signal Operating: AM, AMTOR, APRS, ATV, Clover, Coherent CW, Contests, CW, Digital modes, DX, DXPeditioning, FlexNet, FM, G-TOR, Grid squares, Internet, IOTA, KISS, Lighthouse Operations, Lightning protection, LOFER, Logging programs, Low band DXing, Multimode, Packet, Paperchasing (Certificates), PACTOR, PSK31, QSLing, ROSE, RTTY, Spread spectrum, SSB, SSTV, TCP/IP, TheNET, TOR, WEFAX Equipment: Antique/collector radios, Batteries, Boatanchors, Computers, Construction of equipment, EMI elimination, Filters, Gas generators, Homebrewed equipment, Integrated circuits, Key collecting, Keyboard CW, Keyers, Linear amplifiers, Military radios, Power supplies, Repeaters, Restoring equipment, Scanners, Solar power, Station accessories, Straight Keys, Test equipment, TNC's, Transceivers, Transformers, Transistors, UPS backup, Vacuum tubes Antennas/Propagation: Antenna tuners, Baluns, Balloon-supported antennas, Beam antennas, Coaxial cable, Dipole antennas, Dish antennas, Duplexers, Loop antennas, Meteor scatter, MININEC, Mobile antennas, Multi-band antennas, Propagation, Quad antennas, Rotators, Sun spots, SWR measurement, Vertical antennas, Wattmeters, Wire antennas, Yagi antennas Education: Exams, Learning CW, Safety, Schooling, Teaching (Elmer) Organizations you are interested in: American Red Cross, AWA, AMRAD, ARES, ARRL, AURORA, Club meetings, Club newsletters, DARC, FCC, FISTS, FOC, IARU, ITU, MARS, OTC, OOTC, QCWA, RA, RAC, RACES, Radio Club of America, RAFARS, Royal Navy ARS, RSARS, RSGB, SAREX, Scouting, SOWP, TAPR, United Nations, VE/VEC, YLRL Current Memberships: 10-10, AMSAT, ARRL, AWA, DARC, MARS, OOTC, QCWA, Radio Club of America, SOWP, TAPR Awards / Certificates you are interested in: DXCC, VUCC, WAC, WAS, WAZ Awards / Certificates you Currently Hold: DXCC, VUCC, WAC, WAS, WAZ Miscellaneous: Insurance for equipment, Vanity callsigns Publications: 73, CQ, Electric Radio, Monitoring Times, QST, Worldradio MEMBER OF SX5AS DXPEDITION ON ASTAKIDA ISLETS & LIGHTHOUSE ACTIVATION OPERATING TEAM 2007 MEMBER OF SY8V DXPEDITION ON LIGHTHOUSE KITHIRA/ANTIKITHIRA ACTIVATION OPERATING TEAM 2006 MEMBER OF SX8F DXPEDITION ON FALCONERA ISLET & LIGHTHOUSE ACTIVATION OPERATING TEAM 2006

FCC Machine Learning: Rock Paper Scissors

Learning From FCC & Patrick about Smart Contracts!!

Learning from FCC & Patrick about Smart Contracts!!!

learning from FCC and fatric About Smart contract

FCC Machine Learning: Cat and Dog image classifier

Data Analysis with Python Projects - fcc-medical-data-visualizer - a learning project

fcc learning

Repo as resource of Freecodecamp Machine Learning.

Learning for FCC

Learning from FCC

A learning hub documenting my FreeCodeCamp journey—code, projects, insights, and discussions to grow as a developer and problem-solver.

Learning from Patrick Collins & FCC

Learning from Patrick Collins & FCC

Learning from FCC & Patrick Collins

Learning from Patrick Collins & FCC

Learning from FCC & Patrick Collins

Learning from Patrick Collins & FCC

Learning from FCC-Patrick Collins

For all Learning projects (FCC)

Learning from Patrick Collins & FCC

Git learning tool from FCC

Learning from FCC & Patrick Collins

Projects from the 'Machine Learning with Python' course from FreeCodeCamp

[Learning] - https://www.freecodecamp.org/learn/information-security/information-security-with-helmetjs

Solutions for the FreeCodeCamp "Machine Learning with Python" Challenges